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Systematic Review
Pre-exposure Prophylaxis Adherence Among Men Who Have Sex With Men: A Systematic Review and Meta-analysis
Suchitra Hudrudchai, Charin Suwanwong, Pitchada Prasittichok, Kanu Priya Mohan, Nopphadol Janeaim
J Prev Med Public Health. 2024;57(1):8-17.   Published online December 12, 2023
DOI: https://doi.org/10.3961/jpmph.23.345
  • 1,927 View
  • 304 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
The effectiveness and efficiency of pre-exposure prophylaxis (PrEP) in reducing the transmission of human immunodeficiency virus (HIV) among men who have sex with men (MSM) relies on how widely it is adopted and adhered to, particularly among high-risk groups of MSM. The meta-analysis aimed to collect and analyze existing evidence on various factors related to PrEP adherence in MSM, including demographic characteristics, sexual behaviors, substance use, and psychosocial factors.
Methods
The meta-analysis followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The search included articles published between January 2018 and December 2022, obtained from the PubMed, ScienceDirect, and Scopus databases. The studies that were included in the analysis reported the proportion of MSM who demonstrated adherence to PrEP and underwent quality appraisal using the Newcastle-Ottawa Scale.
Results
Of the 268 studies initially identified, only 12 met the inclusion criteria and were included in the final meta-analysis. The findings indicated that education (odds ratio [OR], 1.64; 95% confidence interval [CI], 1.12 to 2.40), number of sexual partners (OR, 1.16; 95% CI, 1.02 to 1.31), engaging in sexual activities with an human immunodeficiency virus-positive partner (OR, 1.59; 95% CI, 1.16 to 2.26), substance use (OR, 0.83; 95% CI, 0.70 to 0.99), and lower levels of depression (OR, 0.55; 95% CI, 0.37 to 0.82) were associated with higher rates of PrEP adherence among MSM.
Conclusions
Despite these findings, further research is necessary to investigate PrEP adherence more comprehensively. The findings of this meta-analysis can be utilized to inform interventions aimed at improving PrEP adherence among MSM and provide directions for future research in this area.
Summary
Key Message
This systematic review and meta-analysis confirmed that factors such as education, number of sexual partners, engagement in sexual activities with an HIV-positive partner, substance use, and lower levels of depression were associated with higher rates of PrEP adherence among MSM. Healthcare providers and interventions should take these aspects into consideration when developing strategies to promote optimal PrEP adherence and reduce the risk of HIV transmission.
Special Article
Statin Intake and Gastric Cancer Risk: An Updated Subgroup Meta-analysis Considering Immortal Time Bias
Jong-Myon Bae
J Prev Med Public Health. 2022;55(5):424-427.   Published online August 18, 2022
DOI: https://doi.org/10.3961/jpmph.22.209
  • 2,344 View
  • 88 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
A retrospective record-linkage study (RLS) based on medical records containing drug prescription histories involves immortal time bias (ITB). Thus, it is necessary to control for this bias in the research planning and analysis stages. Furthermore, a summary of a metaanalysis including RLSs that did not control for ITB showed that specific drugs had a preventive effect on the occurrence of the disease. Previous meta-analytic results of three systematic reviews evaluating the association between statin intake and gastric cancer risk showed that the summary hazard ratio (sHR) of the RLSs was lower than 1 and was statistically significant. We should consider the possibility of ITB in the sHR of RLSs and interpret the results carefully.
Summary
Korean summary
이차자료를 활용하여 구축한 코호트 추적연구는 immortal time bias가 개입될 개연성을 염두에 두어야 한다. 이들 연구결과들을 제외한 메타분석 결과 스타닌 복용에 따른 위암발생 위험 감소는 관련성이 없다는 결과를 도출하였다.

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  • Sodium-glucose cotransporter-2 inhibitors use and the risk of gout: a systematic review and meta-analysis
    Shih-Wei Lai, Bing-Fang Hwang, Yu-Hung Kuo, Chiu-Shong Liu, Kuan-Fu Liao
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
Systematic Reviews
Vitamin D Deficiency and Comorbidities as Risk Factors of COVID-19 Infection: A Systematic Review and Meta-analysis
Pinki Mishra, Rizwana Parveen, Ram Bajpai, Nidhi Agarwal
J Prev Med Public Health. 2022;55(4):321-333.   Published online June 13, 2022
DOI: https://doi.org/10.3961/jpmph.21.640
  • 4,249 View
  • 185 Download
  • 8 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
Extensive evidence links low vitamin D status and comorbidities with coronavirus disease 2019 (COVID-19) outcomes, but the results of published studies are contradictory. Therefore, we investigated the association of lower levels of vitamin D and comorbidities with the risk of COVID-19 infection.
Methods
We searched MEDLINE (via PubMed), Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov for articles published until August 20, 2021. Sixteen eligible studies were identified (386 631 patients, of whom 181 114 were male). We included observational cohort and case-control studies that evaluated serum levels of vitamin D in COVID-19-positive and COVID-19-negative patients. Mean differences (MDs) with 95% confidence intervals (CIs) were calculated.
Results
Significantly lower vitamin D levels were found in COVID-19-positive patients (MD, -1.70; 95% CI, -2.74 to -0.66; p=0.001), but with variation by study design (case-control: -4.04; 95% CI, -5.98 to -2.10; p<0.001; cohort: -0.39; 95% CI, -1.62 to 0.84; p=0.538). This relationship was more prominent in female patients (MD, -2.18; 95% CI, -4.08 to -0.28; p=0.024) than in male patients (MD, -1.74; 95% CI, -3.79 to 0.31; p=0.096). Male patients showed higher odds of having low vitamin D levels (odds ratio [OR], 2.09; 95% CI, 1.38 to 3.17; p<0.001) than female patients (OR, 1.17; 95% CI, 0.74 to 1.86; p=0.477). Comorbidities showed inconsistent, but generally non-significant, associations with COVID-19 infection.
Conclusions
Low serum vitamin-D levels were significantly associated with the risk of COVID-19 infection. This relationship was stronger in female than in male COVID-19 patients. Limited evidence was found for the relationships between comorbidities and COVID-19 infection, warranting large population-based studies to clarify these associations.
Summary

Citations

Citations to this article as recorded by  
  • Effects of vitamin D on the incidence and severity of COVID-19
    V. V. Krivosheev, L. Yu. Nikitina, I. V. Kozlovskiy, A. V. Fedorov
    Sanitarnyj vrač (Sanitary Doctor).2024; (1): 27.     CrossRef
  • Ukrainian Consensus on Diagnosis and Management of Vitamin D Deficiency in Adults
    Nataliia Grygorieva, Mykola Tronko, Volodymir Kovalenko, Serhiy Komisarenko, Tetiana Tatarchuk, Ninel Dedukh, Mykola Veliky, Serhiy Strafun, Yulia Komisarenko, Andrii Kalashnikov, Valeria Orlenko, Volodymyr Pankiv, Oleg Shvets, Inna Gogunska, Svitlana Reg
    Nutrients.2024; 16(2): 270.     CrossRef
  • Methodological issues in designing and reporting of systematic reviews in assessing association between vitamin D supplementation and COVID-19 severity
    R Bajpai
    QJM: An International Journal of Medicine.2023; 116(5): 406.     CrossRef
  • Mechanistic Insight into the role of Vitamin D and Zinc in Modulating Immunity Against COVID-19: A View from an Immunological Standpoint
    Nuzhat Ahsan, Mohammad Imran, Yousuf Mohammed, Fatme Al Anouti, Mohammad Idreesh Khan, Tanushree Banerjee, Mohd Adnan, Fauzia Ashfaq, Marek Kieliszek, Syed Amir Ashraf, Afrozul Haq
    Biological Trace Element Research.2023; 201(12): 5546.     CrossRef
  • The Role of Diet and Specific Nutrients during the COVID-19 Pandemic: What Have We Learned over the Last Three Years?
    Petra Rust, Cem Ekmekcioglu
    International Journal of Environmental Research and Public Health.2023; 20(7): 5400.     CrossRef
  • Self-Reported Pre-Pandemic Physical Activity and Likelihood of COVID-19 Infection: Data from the First Wave of the CoCo-Fakt Survey
    Nikola Schmidt, Andreas Gehlhar, Barbara Grüne, Annelene Kossow, Thomas Kraus, Johannes Nießen, Stefanie Wessely, Christine Joisten
    Sports Medicine - Open.2023;[Epub]     CrossRef
  • Diagnosis, prevention and treatment of vitamin D deficiency in adults: Ukrainian experts consensus statement
    N.V. Grygorieva, M.D. Tronko, V.M. Kovalenko, S.V. Komisarenko, T.F. Tatarchuk, N.V. Dedukh, M.M. Veliky, S.S. Strafun, Y.I. Komisarenko, A.V. Kalashnikov, V.L. Orlenko, V.I. Pankiv, O.V. Shvets, I.V. Gogunska, S.I. Regeda
    PAIN, JOINTS, SPINE.2023; 13(2): 60.     CrossRef
  • Vitamin D Deficiency and COVID-19: A Biological Database Study on Pathways and Gene-Disease Associations
    Ángela Alcalá-Santiago, Miguel Rodríguez-Barranco, Marta Rava, María Ángeles Jiménez-Sousa, Ángel Gil, María José Sánchez, Esther Molina-Montes
    International Journal of Molecular Sciences.2022; 23(22): 14256.     CrossRef
Low Social Support and Risk for Depression in People With Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis
Akhmad Azmiardi, Bhisma Murti, Ratih Puspita Febrinasari, Didik Gunawan Tamtomo
J Prev Med Public Health. 2022;55(1):37-48.   Published online January 10, 2022
DOI: https://doi.org/10.3961/jpmph.21.490
  • 4,430 View
  • 192 Download
  • 8 Web of Science
  • 10 Crossref
AbstractAbstract PDF
Objectives
Depression is a frequent complication of type 2 diabetes mellitus. This study aimed to investigate the relationship between low social support and risk for depression in people with type 2 diabetes through a meta-analysis.
Methods
PubMed, ProQuest, SpringerLink, ScienceDirect, Scopus, the Cochrane Library, Embase, and Google Scholar were searched for English-language articles published up to 2021. Pooled adjusted odds ratios (aORs) were calculated using a random-effect model with 95% confidence intervals (CIs). Heterogeneity was evaluated by using the Cochrane Q test and I2 statistics. The risk of publication bias was estimated using a funnel plot, the Egger test, and the Begg test. The Joanna Briggs Institute Critical Appraisal Tools were used to assess the quality of evidence and the risk of bias.
Results
Eleven studies were included in this meta-analysis, containing a total of 3151 people with type 2 diabetes mellitus. The pooled analysis showed that people with type 2 diabetes mellitus who had low social support had twice as high a risk of depression as those with high social support (aOR, 2.02; 95% CI, 1.51 to 2.70; p<0.001). A random-effect model was used because the heterogeneity was high (I2= 87%).
Conclusions
Low social support was found to increase the risk of depression among people with type 2 diabetes mellitus. Further investigation into factors that may moderate this relationship is required.
Summary

Citations

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  • Staying connected: An umbrella review of meta-analyses on the push-and-pull of social connection in depression
    Luisa De Risio, Mauro Pettorruso, Rebecca Collevecchio, Barbara Collacchi, Marta Boffa, Mario Santorelli, Massimo Clerici, Giovanni Martinotti, Francesca Zoratto, Marta Borgi
    Journal of Affective Disorders.2024; 345: 358.     CrossRef
  • The risk factors for mental health disorders in patients with type 2 diabetes: An umbrella review of systematic reviews with and without meta-analysis
    Amani Busili, Kanta Kumar, Laura Kudrna, Idris Busaily
    Heliyon.2024; 10(7): e28782.     CrossRef
  • Effectiveness of social support-based interventions in preventing depression in people without clinical depression: A systematic review and meta-analysis of randomized controlled trials
    Henar Campos-Paíno, Patricia Moreno-Peral, Irene Gómez-Gómez, Sonia Conejo-Cerón, Santiago Galán, Sara Reyes-Martín, Juan Ángel Bellón
    International Journal of Social Psychiatry.2023; 69(2): 253.     CrossRef
  • Individuelle Behandlung bei Glaukompatienten mit einem Diabetes mellitus
    Jan Luebke
    Klinische Monatsblätter für Augenheilkunde.2023; 240(02): 142.     CrossRef
  • Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China
    Rehanguli Maimaitituerxun, Wenhang Chen, Jingsha Xiang, Atipatsa C. Kaminga, Xin Yin Wu, Letao Chen, Jianzhou Yang, Aizhong Liu, Wenjie Dai
    BMC Psychiatry.2023;[Epub]     CrossRef
  • The prevalence and predictors of depression and disability in older adults and elderly patients with Diabetes in India: Cross-sectional analysis from the Longitudinal Study on Ageing
    Baani Sodhi, Mansi Malik, Paras Agarwal, Saurav Basu
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(4): 102765.     CrossRef
  • Depression and determinants among diabetes mellitus patients in Ethiopia, a systematic review and meta-analysis
    Kirubel Dagnaw Tegegne, Natnael Atnafu Gebeyehu, Mesfin Wudu Kassaw
    BMC Psychiatry.2023;[Epub]     CrossRef
  • Individuelle Behandlung bei Glaukompatienten mit einem Diabetes mellitus
    Jan Lübke
    Diabetes aktuell.2023; 21(02): 68.     CrossRef
  • Diabetes and Mental Health
    David J. Robinson, Kimberley Hanson, Akshay B. Jain, Jessica C. Kichler, Gaurav Mehta, Osnat C. Melamed, Michael Vallis, Harpreet S. Bajaj, Tracy Barnes, Jeremy Gilbert, Kristin Honshorst, Robyn Houlden, James Kim, Joanne Lewis, Barbara MacDonald, Dylan M
    Canadian Journal of Diabetes.2023; 47(4): 308.     CrossRef
  • The association between screen time and depression symptoms severity among adults with diabetes: A cross-sectional study
    Layan Sukik, Bushra Hoque, Linda Boutefnouchet, Mohamed Elhadary, Hiba Bawadi, Mujahed Shraim
    Primary Care Diabetes.2023; 17(6): 619.     CrossRef
Prevalence of Sarcopenia Among the Elderly in Korea: A Meta-Analysis
Yoo Jin Choo, Min Cheol Chang
J Prev Med Public Health. 2021;54(2):96-102.   Published online March 4, 2021
DOI: https://doi.org/10.3961/jpmph.21.046
  • 6,624 View
  • 331 Download
  • 18 Web of Science
  • 24 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
Sarcopenia is a common disease in the elderly population that causes disability, poor quality of life, and a high risk of death. In the current study, we conducted a meta-analysis to report basic knowledge about the prevalence of sarcopenia in the elderly in Korea.
Methods
We searched for articles in the MEDLINE, Cochrane Library, Embase, and Scopus databases published until December 28, 2020. Studies investigating the prevalence of sarcopenia in elderly Koreans aged ≥65 years were included. The methodological quality of the studies was evaluated using the Newcastle-Ottawa scale. Publication bias was evaluated using the Egger test and funnel plots.
Results
In total, 3 studies and 2922 patients were included in the meta-analysis. All 3 studies used the European Working Group on Sarcopenia in Older People criteria for the diagnosis of sarcopenia. The total prevalence of sarcopenia was 13.1-14.9% in elderly men and 11.4% in elderly women.
Conclusions
This meta-analysis is the first to estimate the pooled prevalence of sarcopenia in elderly Koreans, and its findings suggest that sarcopenia is common in this population. Therefore, attention should be paid to the prevention and control of sarcopenia.
Summary
Korean summary
본 연구에서는 노인인구에서 삶의 질 저하 및 높은 사망률을 야기시키는 흔한 질환인 근감소증의 유병률을 조사하고자 메타분석을 시행하였다. 분석에는 65세 이상 한국 노년층의 근감소증 유병률을 조사한 3건의 연구들과 총 2,922명의 대상자가 포함되었으며, 3개의 연구 모두 European Working Group on Sarcopenia in Older People criteria를 통해 근감소증을 진단하였다. 분석 결과, 근감소증의 총 유병률은 남성에서 13.1-14.9%였고, 여성에서는 11.4%였다. 이 결과는 우리나라의 노인 인구에서 근감소증이 흔하게 발생하므로 근감소증의 예방과 통제에 주의를 기울여야 함을 시사한다.

Citations

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  • Phenotype validation of the Korean working group on sarcopenia guideline
    Sunghwan Ji, Ji Yeon Baek, Eunju Lee, Il-Young Jang, Hee-Won Jung
    Archives of Gerontology and Geriatrics.2024; 117: 105251.     CrossRef
  • The prevalence and factors associated with sarcopenia in Thai older adults: A systematic review and meta-analysis
    Phatcharaphon Whaikid, Noppawan Piaseu
    International Journal of Nursing Sciences.2024; 11(1): 31.     CrossRef
  • Association of low muscle mass and obesity with increased all‐cause and cardiovascular disease mortality in US adults
    Donghyun Kim, Junghoon Lee, Raekil Park, Chang‐Myung Oh, Shinje Moon
    Journal of Cachexia, Sarcopenia and Muscle.2024; 15(1): 240.     CrossRef
  • Sonographic methods to predict type 2 diabetes patients with sarcopenia: B mode ultrasound and shear wave elastography
    Shengqiao Wang, Xinliang Xu, Siqi Cao, Juan Cheng, Ying Wang, Yi Dong
    Clinical Hemorheology and Microcirculation.2024; : 1.     CrossRef
  • Relationship between asthma and sarcopenia in the elderly: a nationwide study from the KNHANES
    Ha-Kyeong Won, Yewon Kang, Jin An, Ji-Hyang Lee, Woo-Jung Song, Hyouk-Soo Kwon, You Sook Cho, Hee-Bom Moon, Il-Young Jang, Tae-Bum Kim
    Journal of Asthma.2023; 60(2): 304.     CrossRef
  • Correlation between temporal muscle thickness and grip strength in hemiplegic patients with acute stroke
    Jisoo Park, Jihye Park, Soye Kim, Dong Chan Kim
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • Impact of sarcopenia and phase angle on mortality of the very elderly
    Young Eun Kwon, Jung Sun Lee, Jee‐young Kim, Song In Baeg, Hye Min Choi, Hong‐Bae Kim, Joon Young Yang, Dong‐Jin Oh
    Journal of Cachexia, Sarcopenia and Muscle.2023; 14(1): 279.     CrossRef
  • The effect of combining nutrient intake and physical activity levels on central obesity, sarcopenia, and sarcopenic obesity: a population-based cross-sectional study in South Korea
    Jong Eun Park, Seulgi Lee, Kirang Kim
    BMC Geriatrics.2023;[Epub]     CrossRef
  • Prevalence of sarcopenia in patients with COPD through different musculature measurements: An updated meta-analysis and meta-regression
    Jie He, Hezhi Li, Jun Yao, Yan Wang
    Frontiers in Nutrition.2023;[Epub]     CrossRef
  • Association between Sarcopenia, Falls, and Cognitive Impairment in Older People: A Systematic Review with Meta-Analysis
    Jack Roberto Silva Fhon, Alice Regina Felipe Silva, Eveline Fontes Costa Lima, Alexandre Pereira dos Santos Neto, Ángela Maria Henao-Castaño, Elizabeth Fajardo-Ramos, Vilanice Alves Araújo Püschel
    International Journal of Environmental Research and Public Health.2023; 20(5): 4156.     CrossRef
  • COVID-19 in Older Patients: Assessment of Post-COVID-19 Sarcopenia
    Almudena López-Sampalo, Lidia Cobos-Palacios, Alberto Vilches-Pérez, Jaime Sanz-Cánovas, Antonio Vargas-Candela, Juan José Mancebo-Sevilla, Halbert Hernández-Negrín, Ricardo Gómez-Huelgas, María Rosa Bernal-López
    Biomedicines.2023; 11(3): 733.     CrossRef
  • The High Prevalence of Sarcopenia in Rheumatoid Arthritis in the Korean Population: A Nationwide Cross-Sectional Study
    Dongwoo Kim, Yu Jin Lee, Eui Seop Song, Ahreum Kim, Cho Hee Bang, Jae Hyun Jung
    Healthcare.2023; 11(10): 1401.     CrossRef
  • Lack of association between serum myonectin levels and sarcopenia in older Asian adults
    Sunghwan Ji, So Jeong Park, Jin Young Lee, Ji Yeon Baek, Hee-Won Jung, Kyunggon Kim, Hyun Ju Yoo, Il-Young Jang, Beom-Jun Kim
    Experimental Gerontology.2023; 178: 112229.     CrossRef
  • Research Progress of Sarcopenia
    苗 段
    Advances in Clinical Medicine.2023; 13(05): 8836.     CrossRef
  • Prevalence of Sarcopenia in Africa: A Systematic Review
    Bryan Vincent Mballa Yene, Sang-Yeob Lee, Ki-Soo Park, Yang Jae Kang, Sung Hyo Seo, Jun-Il Yoo
    Clinical Interventions in Aging.2023; Volume 18: 1021.     CrossRef
  • Efficacy of Silkworm Pupae Extract on Muscle Strength and Mass in Middle-Aged and Older Individuals: A Randomized, Double-Blind, Placebo-Controlled Trial
    J.I. Choi, H.Y. Kweon, Y.L. Lee, J.H. Lee, Sang Yeoup Lee
    The Journal of nutrition, health and aging.2023; 27(7): 578.     CrossRef
  • The Impact of Possible Sarcopenia and Obesity on the Risk of Falls in Hospitalized Older Patients
    Kahyun Kim, Dukyoo Jung
    The Korean Journal of Rehabilitation Nursing.2023; 26(1): 18.     CrossRef
  • Editorial: (Osteo)sarcopenia & sarcopenic obesity, volume II
    Ifigenia Kostoglou-Athanassiou, Lambros Athanassiou, Panagiotis Athanassiou, Stefano Masiero, Yannis Dionyssiotis
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Highlighting Unseen Activity: A 48-Hour Continuous Measurement in Subacute Stroke Rehabilitation – A Preliminary Cohort Study (Preprint)
    Emi Mizuno, Masahiko Mukaino, Takayuki Ogasawara, Masumi Yamaguchi, Shingo Tsukada, Shigeru Sonoda, Yohei Otaka
    JMIR Formative Research.2023;[Epub]     CrossRef
  • Research Progress on Pathogenesis and Drug Treatment of Hypertension Complicated with Sarcopenia
    晓琼 张
    Advances in Clinical Medicine.2022; 12(05): 4132.     CrossRef
  • Impact of Sarcopenia and Bone Mineral Density on Implant Failure after Dorsal Instrumentation in Patients with Osteoporotic Vertebral Fractures
    Harald Krenzlin, Leon Schmidt, Dragan Jankovic, Carina Schulze, Marc A. Brockmann, Florian Ringel, Naureen Keric
    Medicina.2022; 58(6): 748.     CrossRef
  • An analysis study of sarcopenia and locomotive syndrome in the old people using evaluation tool
    Myung-Chul Kim, Hang-Sik Park, Hae-In Kim, Jean-Kyung Park, Dong-Kun Chung
    Journal of Exercise Rehabilitation.2022; 18(4): 256.     CrossRef
  • The Positive Association between Muscle Mass and Bone Status Is Conserved in Men with Diabetes: A Retrospective Cross-Sectional and Longitudinal Study
    Hyun Uk Moon, Seung Jin Han, Hae Jin Kim, Yoon-Sok Chung, Dae Jung Kim, Yong Jun Choi
    Journal of Clinical Medicine.2022; 11(18): 5370.     CrossRef
  • Prevalence of sarcopenia in Chinese community-dwelling elderly: a systematic review
    Xiaoyu Ren, Xianliang Zhang, Qiang He, Litao Du, Ke Chen, Si Chen, Yang Pan
    BMC Public Health.2022;[Epub]     CrossRef
COVID-19: Systematic Review
Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis
Yousef Alimohamadi, Maryam Taghdir, Mojtaba Sepandi
J Prev Med Public Health. 2020;53(3):151-157.   Published online March 20, 2020
DOI: https://doi.org/10.3961/jpmph.20.076
  • 23,202 View
  • 1,230 Download
  • 181 Crossref
AbstractAbstract PDF
Objectives
The outbreak of coronavirus disease 2019 (COVID-19) is one of the main public health challenges currently facing the world. Because of its high transmissibility, COVID-19 has already caused extensive morbidity and mortality in many countries throughout the world. An accurate estimation of the basic reproduction number (R0) of COVID-19 would be beneficial for prevention programs. In light of discrepancies in original research on this issue, this systematic review and meta-analysis aimed to estimate the pooled R0 for COVID-19 in the current outbreak.
Methods
International databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched to identify studies conducted regarding the R0 of COVID-19. Articles were searched using the following keywords: “COVID-19” and “basic reproduction number” or “R0.” The heterogeneity among studies was assessed using the I2 index, the Cochran Q test, and T2. A random-effects model was used to estimate R0 in this study.
Results
The mean reported R0 in the identified articles was 3.38±1.40, with a range of 1.90 to 6.49. According to the results of the random-effects model, the pooled R0 for COVID-19 was estimated as 3.32 (95% confidence interval, 2.81 to 3.82). According to the results of the meta-regression analysis, the type of model used to estimate R0 did not have a significant effect on heterogeneity among studies (p=0.81).
Conclusions
Considering the estimated R0 for COVID-19, reducing the number of contacts within the population is a necessary step to control the epidemic. The estimated overall R0 was higher than the World Health Organization estimate.
Summary

Citations

Citations to this article as recorded by  
  • Optimal resource allocation model for COVID-19: a systematic review and meta-analysis
    Yu-Yuan Wang, Wei-Wen Zhang, Ze-xi Lu, Jia-lin Sun, Ming-xia Jing
    BMC Infectious Diseases.2024;[Epub]     CrossRef
  • Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19
    François M. Castonguay, Harrell W. Chesson, Seonghye Jeon, Gabriel Rainisch, Leah S. Fischer, Biswha B. Adhikari, Emily B. Kahn, Bradford Greening, Thomas L. Gift, Martin I. Meltzer
    AJPM Focus.2024; 3(1): 100147.     CrossRef
  • SARS-CoV-2 incidence monitoring and statistical estimation of the basic and time-varying reproduction number at the early onset of the pandemic in 45 sub-Saharan African countries
    Michael Safo Oduro, Seth Arhin-Donkor, Louis Asiedu, Damazo T. Kadengye, Samuel Iddi
    BMC Public Health.2024;[Epub]     CrossRef
  • Looking under the lamp-post: quantifying the performance of contact tracing in the United States during the SARS-CoV-2 pandemic
    Henry Bayly, Madison Stoddard, Debra Van Egeren, Eleanor J Murray, Julia Raifman, Arijit Chakravarty, Laura F White
    BMC Public Health.2024;[Epub]     CrossRef
  • Dynamic analysis of generalized epidemic models with latent period, quarantine, governmental intervention and Ornstein–Uhlenbeck process
    Tan Su, Xinhong Zhang, Daqing Jiang
    Nonlinear Dynamics.2024;[Epub]     CrossRef
  • A Dynamic Reaction-restore-type Transmission-rate Model for COVID-19
    Fernando Córdova-Lepe, Juan Pablo Gutiérrez-Jara
    WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE.2024; 21: 118.     CrossRef
  • Modeling SARS‐CoV‐2 True Infections in Catalonia through a Digital Twin
    Pau Fonseca i Casas, Joan Garcia i Subirana, Victor Garcia i Carrasco
    Advanced Theory and Simulations.2023;[Epub]     CrossRef
  • Risk Mitigation Strategy against SARS-CoV-2 Infection for Healthcare Provider at Harapan Bersama General Hospital, Singkawang, Indonesia
    Rizki Rahim, Andreasta Meliala
    Hospital Topics.2023; 101(4): 381.     CrossRef
  • Reducing the basic reproduction number of COVID-19: a model simulation focused on QALYs, hospitalisation, productivity costs and optimal (soft) lockdown
    Jose Robles-Zurita
    The European Journal of Health Economics.2023; 24(4): 647.     CrossRef
  • Waco COVID Survey: A Community-Based SARS-CoV-2 Serological Surveillance Study in Central Texas
    Michael P. Muehlenbein, Jeffrey Gassen, Tomasz J. Nowak, Alexandria D. Henderson, Sally P. Weaver, Erich J. Baker
    Journal of Community Health.2023; 48(1): 104.     CrossRef
  • COVID-19 epidemic and public health interventions in Shanghai, China: Statistical analysis of transmission, correlation and conversion
    Dali Yi, Xicheng Chen, Haojia Wang, Qiuyue Song, Ling Zhang, Pengpeng Li, Wei Ye, Jia Chen, Fang Li, Dong Yi, Yazhou Wu
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Bounding pandemic spread by heat spread
    Teddy Lazebnik, Uri Itai
    Journal of Engineering Mathematics.2023;[Epub]     CrossRef
  • Macroeconomic consequences of the COVID-19 pandemic
    Terrie Walmsley, Adam Rose, Richard John, Dan Wei, Jakub P. Hlávka, Juan Machado, Katie Byrd
    Economic Modelling.2023; 120: 106147.     CrossRef
  • Monkeypox 2022: Emerging zoonotic epidemic threat, future implications, and way ahead
    Suraj Kapoor, Ashvin Varadharajan
    Journal of Public Health and Primary Care.2023; 4(1): 8.     CrossRef
  • Forty‐seven year trend of measles in Iran: An interrupted time series analysis
    Yousef Alimohamadi, Mojtaba Sepandi
    Health Science Reports.2023;[Epub]     CrossRef
  • A mathematical model for the spread of Omicron virus based on grey prediction algorithm
    Haotian Lin, Jianze Lin, Kewei You
    Highlights in Science, Engineering and Technology.2023; 36: 1386.     CrossRef
  • Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study
    Farzana Islam, Yasir Alvi, Mohammad Ahmad, Faheem Ahmed, Anisur Rahman, Farishta Hannah D. Singh, Ayan Kumar Das, Mridu Dudeja, Ekta Gupta, Rashmi Agarwalla, Iqbal Alam, Sushovan Roy
    IJID Regions.2023; 7: 22.     CrossRef
  • Study of optimal vaccination strategies for early COVID-19 pandemic using an age-structured mathematical model: A case study of the USA
    Giulia Luebben, Gilberto González-Parra, Bishop Cervantes
    Mathematical Biosciences and Engineering.2023; 20(6): 10828.     CrossRef
  • A Stochastic Mobility-Driven spatially explicit SEIQRD COVID-19 model with VOCs, seasonality, and vaccines
    Tijs W. Alleman, Michiel Rollier, Jenna Vergeynst, Jan M. Baetens
    Applied Mathematical Modelling.2023; 123: 507.     CrossRef
  • Using advanced analysis together with fractional order derivative to investigate a smoking tobacco cancer model
    Ismail Shah, Eiman, Hussam Alrabaiah, Burhanettin Ozdemir, Ateeq ur Rehman Irshad
    Results in Physics.2023; 51: 106700.     CrossRef
  • Trajectories of COVID-19: A longitudinal analysis of many nations and subnational regions
    David Burg, Jesse H. Ausubel, Rajnesh Lal
    PLOS ONE.2023; 18(6): e0281224.     CrossRef
  • Influence spreading model for partial breakthrough effects on complex networks
    Into Almiala, Henrik Aalto, Vesa Kuikka
    Physica A: Statistical Mechanics and its Applications.2023; 630: 129244.     CrossRef
  • A Brighton Collaboration standardized template with key considerations for a benefit/risk assessment for the Novavax COVID-19 Vaccine (NVX-CoV2373), a recombinant spike protein vaccine with Matrix-M adjuvant to prevent disease caused by SARS-CoV-2 viruses
    Bethanie Wilkinson, Kinjal S. Patel, Katherine Smith, Robert Walker, Chengbin Wang, Ann M. Greene, Gale Smith, Emily R. Smith, Marc Gurwith, Robert T. Chen
    Vaccine.2023; 41(45): 6762.     CrossRef
  • Modelling influenza and SARS-CoV-2 interaction: Analysis for Catalonia region
    Pau Fonseca i Casas, Victor Garcia i Carrasco, Joan Garcia i Subirana
    Journal of Algorithms & Computational Technology.2023;[Epub]     CrossRef
  • Measuring the efficacy of a vaccine during an epidemic
    Antonio Scala, Pierpaolo Cavallo, Tiago Pereira
    PLOS ONE.2023; 18(9): e0290652.     CrossRef
  • Fast bilateral weighted least square for the detail enhancement of COVID-19 chest X-rays
    Wenyan Bian, Yang Yang
    DIGITAL HEALTH.2023;[Epub]     CrossRef
  • Structural Econometric Estimation of the Basic Reproduction Number for COVID-19 Across U.S. States and Selected Countries
    Ida Johnsson, M. Hashem Pesaran, Cynthia Fan Yang
    SSRN Electronic Journal.2023;[Epub]     CrossRef
  • SARS-CoV-2: An Update on the Biological Interplay with the Human Host
    Giuseppe Lippi, Fabian Sanchis-Gomar, Camilla Mattiuzzi, Brandon M. Henry
    COVID.2023; 3(10): 1586.     CrossRef
  • A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States
    John M. Drake, Andreas Handel, Éric Marty, Eamon B. O’Dea, Tierney O’Sullivan, Giovanni Righi, Andrew T. Tredennick, Gerardo Chowell
    PLOS Computational Biology.2023; 19(11): e1011610.     CrossRef
  • Reaction–Diffusion Equations in Mathematical Models Arising in Epidemiology
    Vasyl’ Davydovych, Vasyl’ Dutka, Roman Cherniha
    Symmetry.2023; 15(11): 2025.     CrossRef
  • Multivariate Forecasting Model for COVID-19 Spread Based on Possible Scenarios in Ecuador
    Juan Guamán, Karen Portilla, Paúl Arias-Muñoz, Gabriel Jácome, Santiago Cabrera, Luis Álvarez, Bolívar Batallas, Hernán Cadena, Juan Carlos García
    Mathematics.2023; 11(23): 4721.     CrossRef
  • Direct indicators of social distancing effectiveness in COVID-19 outbreak stages: a correlational analysis of case contacts and population mobility in Korea
    Sojin Choi, Chanhee Kim, Kun-Hee Park, Jong-Hun Kim
    Epidemiology and Health.2023; 45: e2023065.     CrossRef
  • Screening multi‐dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID‐19
    Hussein El Hajj, Douglas R. Bish, Ebru K. Bish, Hrayer Aprahamian
    Naval Research Logistics (NRL).2022; 69(1): 3.     CrossRef
  • COVID-19 Global Humanitarian Response Plan: An optimal distribution model for high-priority countries
    Ibrahim M. Hezam
    ISA Transactions.2022; 124: 1.     CrossRef
  • Health and Public Health Implications of COVID‐19 in Asian Countries
    Atsushi Miyawaki, Yusuke Tsugawa
    Asian Economic Policy Review.2022; 17(1): 18.     CrossRef
  • Implications for clinical dental practice during the coronavirus disease pandemic: A scoping review
    Kazumichi Yonenaga, Shunsuke Itai, Kazuto Hoshi
    Journal of Prosthodontic Research.2022; 66(1): 6.     CrossRef
  • Objective Evaluation of Olfactory and Taste Dysfunction Among COVID-19 Patients: A Cross Sectional Study from Tribal India
    Izhar Khan, Vikas Gupta, Sanjay Kumar Shukla
    Indian Journal of Otolaryngology and Head & Neck Surgery.2022; 74(S2): 3193.     CrossRef
  • A strict mask policy for hospital staff effectively prevents nosocomial influenza infections and mortality: monocentric data from five consecutive influenza seasons
    A. Ambrosch, D. Luber, F. Klawonn, M. Kabesch
    Journal of Hospital Infection.2022; 121: 82.     CrossRef
  • Effectiveness of social distancing interventions in containing COVID-19 incidence: International evidence using Kalman filter
    Navendu Prakash, Bhavya Srivastava, Shveta Singh, Seema Sharma, Sonali Jain
    Economics & Human Biology.2022; 44: 101091.     CrossRef
  • Validación preclínica de un respirador de turbina para la ventilación invasiva: el respirador ACUTE-19
    J.M. Alonso-Iñigo, G. Mazzinari, M. Casañ-Pallardó, J.I. Redondo-García, J. Viscasillas-Monteagudo, A. Gutierrez-Bautista, J. Ramirez-Faz, P. Alonso-Pérez, S. Díaz-Lobato, A.S. Neto, O. Diaz-Cambronero, P. Argente-Navarro, M. Gama de Abreu, P. Pelosi, M.J
    Revista Española de Anestesiología y Reanimación.2022; 69(9): 544.     CrossRef
  • An algorithm for the direct estimation of the parameters of the SIR epidemic model from the I(t) dynamics
    François G. Schmitt
    The European Physical Journal Plus.2022;[Epub]     CrossRef
  • The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases
    Nurul Absar, Nazim Uddin, Mayeen Uddin Khandaker, Habib Ullah
    Infectious Disease Modelling.2022; 7(1): 170.     CrossRef
  • Quantifying transmissibility of SARS-CoV-2 and impact of intervention within long-term healthcare facilities
    Jessica E. Stockdale, Sean C. Anderson, Andrew M. Edwards, Sarafa A. Iyaniwura, Nicola Mulberry, Michael C. Otterstatter, Naveed Z. Janjua, Daniel Coombs, Caroline Colijn, Michael A. Irvine
    Royal Society Open Science.2022;[Epub]     CrossRef
  • Cost-effective proactive testing strategies during COVID-19 mass vaccination: A modelling study
    Zhanwei Du, Lin Wang, Yuan Bai, Xutong Wang, Abhishek Pandey, Meagan C. Fitzpatrick, Matteo Chinazzi, Ana Pastore y Piontti, Nathaniel Hupert, Michael Lachmann, Alessandro Vespignani, Alison P. Galvani, Benjamin J. Cowling, Lauren Ancel Meyers
    The Lancet Regional Health - Americas.2022; 8: 100182.     CrossRef
  • Epidemiological Characteristics and Transmissibility for SARS-CoV-2 of Population Level and Cluster Level in a Chinese City
    Shanshan Yu, Shufeng Cui, Jia Rui, Zeyu Zhao, Bin Deng, Chan Liu, Kangguo Li, Yao Wang, Zimei Yang, Qun Li, Tianmu Chen, Shan Wang
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Real-time pandemic surveillance using hospital admissions and mobility data
    Spencer J. Fox, Michael Lachmann, Mauricio Tec, Remy Pasco, Spencer Woody, Zhanwei Du, Xutong Wang, Tanvi A. Ingle, Emily Javan, Maytal Dahan, Kelly Gaither, Mark E. Escott, Stephen I. Adler, S. Claiborne Johnston, James G. Scott, Lauren Ancel Meyers
    Proceedings of the National Academy of Sciences.2022;[Epub]     CrossRef
  • Anxiety Linked to COVID-19: A Systematic Review Comparing Anxiety Rates in Different Populations
    Hafsah Saeed, Ardalan Eslami, Najah T. Nassif, Ann M. Simpson, Sara Lal
    International Journal of Environmental Research and Public Health.2022; 19(4): 2189.     CrossRef
  • A simple electrical-circuit analogous phenomenological COVID-19 model valid for all observed pandemic phases
    J. C. Nolasco, J. T. García, A. Castro-Chacón, A. Castro-Carranza, J. Gutowski
    AIP Advances.2022;[Epub]     CrossRef
  • SARS-CoV-2 outbreak in a Canadian suburban tertiary hospital necessitating full facility closure: a descriptive observational study
    Jamil N. Kanji, Y.L. Elaine Chan, Lesia R. Boychuk, Curtiss Boyington, Sebora Turay, Melissa Kobelsky, Carolyn Doroshuk, Philana Choo, Susan Jacka, Erin Roberts, Karen Leighton, Stephanie W. Smith, Christopher Sikora, Robert Black
    CMAJ Open.2022; 10(1): E137.     CrossRef
  • Local Surveillance of the COVID-19 Outbreak
    Caifen Liu, Lingfeng Xu, Yuan Bai, Xiaoke Xu, Eric H. Y. Lau, Benjamin J. Cowling, Zhanwei Du
    Frontiers in Physics.2022;[Epub]     CrossRef
  • A review on COVID-19 transmission, epidemiological features, prevention and vaccination
    Yuqin Zhang, Gonghua Wu, Shirui Chen, Xu Ju, Wumitijiang Yimaer, Wangjian Zhang, Shao Lin, Yuantao Hao, Jing Gu, Jinghua Li
    Medical Review.2022; 2(1): 23.     CrossRef
  • Cost-effectiveness analysis on COVID-19 surveillance strategy of large-scale sports competition
    Xuechun Wang, Yiru Cai, Bo Zhang, Xiangyu Zhang, Lianhao Wang, Xiangyu Yan, Mingchen Zhao, Yuan Zhang, Zhongwei Jia
    Infectious Diseases of Poverty.2022;[Epub]     CrossRef
  • Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study
    Kyungsik Kim, Young-Do Jeung, Jeoungbin Choi, Sue K. Park
    Journal of Preventive Medicine and Public Health.2022; 55(2): 144.     CrossRef
  • Perspectives on factors influencing transmission of COVID-19 in Zambia: a qualitative study of health workers and community members
    Cephas Sialubanje, Doreen C Sitali, Nawa Mukumbuta, Libonda Liyali, Phyllis Ingutu Sumbwa, Harvey Kakoma Kamboyi, Mary Ng'andu, Fastone Matthew Goma
    BMJ Open.2022; 12(4): e057589.     CrossRef
  • Factors Associated With Mortality Among the COVID-19 Patients Treated at Gulu Regional Referral Hospital: A Retrospective Study
    Steven Baguma, Christopher Okot, Nelson Onira Alema, Paska Apiyo, Paska Layet, Denis Acullu, Johnson Nyeko Oloya, Denis Ochula, Pamela Atim, Patrick Odong Olwedo, Smart Godfrey Okot, Freddy Wathum Drinkwater Oyat, Janet Oola, Eric Nzirakaindi Ikoona, Judi
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Optimal intervention strategies to mitigate the COVID-19 pandemic effects
    Andreas Kasis, Stelios Timotheou, Nima Monshizadeh, Marios Polycarpou
    Scientific Reports.2022;[Epub]     CrossRef
  • COVID‐19 infection in an infant with cystic fibrosis: A case report and possible therapeutic effect of hypertonic saline
    Seyed Javad Seyedi, Hossein Sadeghi, Hamid‐Reza Kianifar, Abdolkarim Hamedi, Amin Saeidinia
    Clinical Case Reports.2022;[Epub]     CrossRef
  • Data analysis and prediction of the COVID-19 outbreak in the first and second waves for top 5 affected countries in the world
    Ashabul Hoque, Abdul Malek, K. M. Rukhsad Asif Zaman
    Nonlinear Dynamics.2022; 109(1): 77.     CrossRef
  • The influence of gender on COVID-19 infections and mortality in Germany: Insights from age- and gender-specific modeling of contact rates, infections, and deaths in the early phase of the pandemic
    Achim Doerre, Gabriele Doblhammer, Siew Ann Cheong
    PLOS ONE.2022; 17(5): e0268119.     CrossRef
  • The impact of vaccination against the new coronavirus infection on the morbidity of university students
    Sergey A. Sayganov, Anna V. Lubimova, Alexandr V. Meltser, Zakhar V. Lopatin, Olga Yu. Kuznetsova, Olga V. Kovaleva
    Russian Family Doctor.2022; 26(1): 21.     CrossRef
  • COVID-19: Clinical features, case fatality, and the effect of symptoms on mortality in hospitalized cases in Iran
    Yousef Alimohamadi, Mojtaba Sepandi, Roya Rashti, Homeira Sedighinezhad, Sima Afrashteh
    Journal of Taibah University Medical Sciences.2022; 17(5): 725.     CrossRef
  • The Basic Reproduction Number and Delayed Action of T Cells for Patients Infected with SARS-CoV-2
    Yingdong Yin, Yupeng Xi, Cheng Xu, Qiwen Sun
    Mathematics.2022; 10(12): 2017.     CrossRef
  • Understanding Dynamics of Pandemic Models to Support Predictions of COVID-19 Transmission: Parameter Sensitivity Analysis of SIR-Type Models
    Chunfeng Ma, Xin Li, Zebin Zhao, Feng Liu, Kun Zhang, Adan Wu, Xiaowei Nie
    IEEE Journal of Biomedical and Health Informatics.2022; 26(6): 2458.     CrossRef
  • Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts
    Tobias Wistuba, Andreas Mayr, Christian Staerk
    Scientific Reports.2022;[Epub]     CrossRef
  • Adding a reaction-restoration type transmission rate dynamic-law to the basic SEIR COVID-19 model
    Fernando Córdova-Lepe, Katia Vogt-Geisse, Fabio A Sanchez
    PLOS ONE.2022; 17(6): e0269843.     CrossRef
  • SARS-CoV-2 Risk Quantification Model and Validation Based on Large-Scale Dutch Test Events
    Bas Kolen, Laurens Znidarsic, Andreas Voss, Simon Donders, Iris Kamphorst, Maarten van Rijn, Dimitri Bonthuis, Merit Clocquet, Maarten Schram, Rutger Scharloo, Tim Boersma, Tim Stobernack, Pieter van Gelder
    International Journal of Environmental Research and Public Health.2022; 19(12): 7238.     CrossRef
  • Testing and isolation to prevent overloaded healthcare facilities and reduce death rates in the SARS-CoV-2 pandemic in Italy
    Arnab Bandyopadhyay, Marta Schips, Tanmay Mitra, Sahamoddin Khailaie, Sebastian C. Binder, Michael Meyer-Hermann
    Communications Medicine.2022;[Epub]     CrossRef
  • Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection
    Jing Zhao, Mengjie Han, Zhenwu Wang, Benting Wan
    Stochastic Environmental Research and Risk Assessment.2022; 36(12): 4185.     CrossRef
  • Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS)
    Malathi Murugesan, Padmanaban Venkatesan, Senthil Kumar, Premkumar Thangavelu, Winsley Rose, Jacob John, Marx Castro, T. Manivannan, Venkata Raghava Mohan, Priscilla Rupali
    International Journal of Infectious Diseases.2022; 122: 669.     CrossRef
  • Burden of hospital-acquired SARS-CoV-2 infections in Germany: occurrence and outcomes of different variants
    M. Bonsignore, S. Hohenstein, C. Kodde, J. Leiner, K. Schwegmann, A. Bollmann, R. Möller, R. Kuhlen, I. Nachtigall
    Journal of Hospital Infection.2022; 129: 82.     CrossRef
  • Lessons from a pandemic
    Yves Eggli, Valentin Rousson, Reuben Kiggundu
    PLOS Global Public Health.2022; 2(7): e0000404.     CrossRef
  • Update on COVID-19 and Effectiveness of a Vaccination Campaign in a Global Context
    Ioannis Alexandros Charitos, Andrea Ballini, Roberto Lovero, Francesca Castellaneta, Marica Colella, Salvatore Scacco, Stefania Cantore, Roberto Arrigoni, Filiberto Mastrangelo, Mario Dioguardi
    International Journal of Environmental Research and Public Health.2022; 19(17): 10712.     CrossRef
  • Overview of the Role of Spatial Factors in Indoor SARS-CoV-2 Transmission: A Space-Based Framework for Assessing the Multi-Route Infection Risk
    Qi Zhen, Anxiao Zhang, Qiong Huang, Jing Li, Yiming Du, Qi Zhang
    International Journal of Environmental Research and Public Health.2022; 19(17): 11007.     CrossRef
  • Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2
    Elise J. Kuylen, Andrea Torneri, Lander Willem, Pieter J. K. Libin, Steven Abrams, Pietro Coletti, Nicolas Franco, Frederik Verelst, Philippe Beutels, Jori Liesenborgs, Niel Hens, Miles P. Davenport
    PLOS Computational Biology.2022; 18(8): e1009980.     CrossRef
  • Adjusting non-pharmaceutical interventions based on hospital bed capacity using a multi-operator differential evolution
    Victoria May P. Mendoza, Renier Mendoza, Jongmin Lee, Eunok Jung
    AIMS Mathematics.2022; 7(11): 19922.     CrossRef
  • Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2
    Jana S Huisman, Jérémie Scire, Daniel C Angst, Jinzhou Li, Richard A Neher, Marloes H Maathuis, Sebastian Bonhoeffer, Tanja Stadler
    eLife.2022;[Epub]     CrossRef
  • Behavioral responses to risk promote vaccinating high‐contact individuals first
    Hazhir Rahmandad
    System Dynamics Review.2022; 38(3): 246.     CrossRef
  • Pre-clinical validation of a turbine-based ventilator for invasive ventilation—The ACUTE-19 ventilator
    J.M. Alonso-Iñigo, G. Mazzinari, M. Casañ-Pallardó, J.I. Redondo-García, J. Viscasillas-Monteagudo, A. Gutierrez-Bautista, J. Ramirez-Faz, P. Alonso-Pérez, S. Díaz-Lobato, A.S. Neto, O. Diaz-Cambronero, P. Argente-Navarro, M. Gama de Abreu, P. Pelosi, M.J
    Revista Española de Anestesiología y Reanimación (English Edition).2022; 69(9): 544.     CrossRef
  • Why COVID-19 modelling of progression and prevention fails to translate to the real-world
    Carl J. Heneghan, Tom Jefferson
    Advances in Biological Regulation.2022; 86: 100914.     CrossRef
  • The impact of demographic factors on the courseof COVID-19 infection
    Karolina Goroszkiewicz, Grażyna Lisowska, Natalia Zięba, Grażyna Stryjewska-Makuch, Kinga Szopińska, Maciej Misiołek
    Polski Przegląd Otorynolaryngologiczny.2022; 11(3): 1.     CrossRef
  • COVID-19 cluster size and transmission rates in schools from crowdsourced case reports
    Paul Tupper, Shraddha Pai, Caroline Colijn
    eLife.2022;[Epub]     CrossRef
  • No magic bullet: Limiting in-school transmission in the face of variable SARS-CoV-2 viral loads
    Debra Van Egeren, Madison Stoddard, Abir Malakar, Debayan Ghosh, Antu Acharya, Sk Mainuddin, Biswajit Majumdar, Deborah Luo, Ryan P. Nolan, Diane Joseph-McCarthy, Laura F. White, Natasha S. Hochberg, Saikat Basu, Arijit Chakravarty
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Risk factors for in-hospital mortality among patients with coronavirus-19 in Isfahan City, Iran
    Roya Riahi, Marziye Ghasemi, Zahra Montazeri Shatouri, Mojgan Gharipour, Mahboobeh Maghami, Hamid Melali, Ramin Sami, Aminreza Tabatabaei, SayedMohsen Hosseini
    Advanced Biomedical Research.2022; 11(1): 121.     CrossRef
  • Comparison of the Basic Reproduction Numbers for COVID-19 through Four Waves of the Pandemic in Vietnam
    Ngan Thi Mai, Giang Thi Huong Tran, Anh Huu Dang, Phuong Thi Bich Cao, Trung Thanh Nguyen, Huong Thi Lan Pham, Tra Thi Thu Vu, Hieu Van Dong, Le Thi My Huynh
    International Journal of Translational Medicine.2022; 3(1): 1.     CrossRef
  • Estimating the Basic Reproduction Number for the Second Wave of Covid-19 Pandemic in Nigeria
    Ashiribo Senapon Wusu, Olusola Aanu Olabanjo, Manuel Mazzara
    International Journal of Pure and Applied Mathematics Research.2022; 2(2): 1.     CrossRef
  • COVID-19 and India: what next?
    Ramesh Behl, Manit Mishra
    Information Discovery and Delivery.2021; 49(3): 250.     CrossRef
  • What the reproductive number R0 can and cannot tell us about COVID-19 dynamics
    Clara L. Shaw, David A. Kennedy
    Theoretical Population Biology.2021; 137: 2.     CrossRef
  • Ruling out COVID-19 by chest CT at emergency admission when prevalence is low: the prospective, observational SCOUT study
    Ulf Teichgräber, Amer Malouhi, Maja Ingwersen, Rotraud Neumann, Marina Reljic, Stefanie Deinhardt-Emmer, Bettina Löffler, Wilhelm Behringer, Jan-Christoph Lewejohann, Andreas Stallmach, Philipp Reuken
    Respiratory Research.2021;[Epub]     CrossRef
  • The challenges of containing SARS-CoV-2 via test-trace-and-isolate
    Sebastian Contreras, Jonas Dehning, Matthias Loidolt, Johannes Zierenberg, F. Paul Spitzner, Jorge H. Urrea-Quintero, Sebastian B. Mohr, Michael Wilczek, Michael Wibral, Viola Priesemann
    Nature Communications.2021;[Epub]     CrossRef
  • A model for COVID-19 with isolation, quarantine and testing as control measures
    M.S. Aronna, R. Guglielmi, L.M. Moschen
    Epidemics.2021; 34: 100437.     CrossRef
  • Understanding Viral Infection Mechanisms and Patient Symptoms for the Development of COVID-19 Therapeutics
    Hyung Muk Choi, Soo Youn Moon, Hyung In Yang, Kyoung Soo Kim
    International Journal of Molecular Sciences.2021; 22(4): 1737.     CrossRef
  • Current understanding of the surface contamination and contact transmission of SARS-CoV-2 in healthcare settings
    Hosoon Choi, Piyali Chatterjee, John D. Coppin, Julie A. Martel, Munok Hwang, Chetan Jinadatha, Virender K. Sharma
    Environmental Chemistry Letters.2021; 19(3): 1935.     CrossRef
  • Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide
    Soeren Metelmann, Karan Pattni, Liam Brierley, Lisa Cavalerie, Cyril Caminade, Marcus S.C. Blagrove, Joanne Turner, Kieran J. Sharkey, Matthew Baylis
    One Health.2021; 12: 100221.     CrossRef
  • Mathematical modelling to inform New Zealand’s COVID-19 response
    Shaun Hendy, Nicholas Steyn, Alex James, Michael J. Plank, Kate Hannah, Rachelle N. Binny, Audrey Lustig
    Journal of the Royal Society of New Zealand.2021; 51(sup1): S86.     CrossRef
  • Meta-analysis on Serial Intervals and Reproductive Rates for SARS-CoV-2
    Mohammad Hussein, Eman Toraih, Rami Elshazli, Manal Fawzy, August Houghton, Danielle Tatum, Mary Killackey, Emad Kandil, Juan Duchesne
    Annals of Surgery.2021; 273(3): 416.     CrossRef
  • Genomic epidemiology of a densely sampled COVID-19 outbreak in China
    Lily Geidelberg, Olivia Boyd, David Jorgensen, Igor Siveroni, Fabrícia F Nascimento, Robert Johnson, Manon Ragonnet-Cronin, Han Fu, Haowei Wang, Xiaoyue Xi, Wei Chen, Dehui Liu, Yingying Chen, Mengmeng Tian, Wei Tan, Junjie Zai, Wanying Sun, Jiandong Li,
    Virus Evolution.2021;[Epub]     CrossRef
  • Estimating the basic reproduction number for COVID-19 in Western Europe
    Isabella Locatelli, Bastien Trächsel, Valentin Rousson, Yury E. Khudyakov
    PLOS ONE.2021; 16(3): e0248731.     CrossRef
  • The S(E)IR(D) Models of the COVID-19 Epidemic in Korea
    Hee-Young Shin
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Simulation of COVID-19 Propagation Scenarios in the Madrid Metropolitan Area
    David E. Singh, Maria-Cristina Marinescu, Miguel Guzmán-Merino, Christian Durán, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • The SEIR(D) Model of the COVID-19 Epidemic in Korea
    Hee-Young Shin
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Countries with delayed COVID-19 introduction – characteristics, drivers, gaps, and opportunities
    Zheng Li, Cynthia Jones, Girum S. Ejigu, Nisha George, Amanda L. Geller, Gregory C. Chang, Alys Adamski, Ledor S. Igboh, Rebecca D. Merrill, Philip Ricks, Sara A. Mirza, Michael Lynch
    Globalization and Health.2021;[Epub]     CrossRef
  • Containment efficiency and control strategies for the corona pandemic costs
    Claudius Gros, Roser Valenti, Lukas Schneider, Kilian Valenti, Daniel Gros
    Scientific Reports.2021;[Epub]     CrossRef
  • A comparison of COVID-19 secondary attack rate in household and close contacts compared to current risk stratification guidelines of the Kerala government
    Balram Rathish, Arun Wilson, Sonya Joy
    Tropical Doctor.2021; 51(3): 461.     CrossRef
  • Evaluating the effectiveness of measures to control the novel coronavirus disease 2019 in Jilin Province, China
    Qinglong Zhao, Yao Wang, Meng Yang, Meina Li, Zeyu Zhao, Xinrong Lu, Bo Shen, Bo Luan, Yifei Zhao, Bonan Cao, Laishun Yao, Benhua Zhao, Yanhua Su, Tianmu Chen
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland
    Bogdan Bochenek, Mateusz Jankowski, Marta Gruszczynska, Grzegorz Nykiel, Maciej Gruszczynski, Adam Jaczewski, Michal Ziemianski, Robert Pyrc, Mariusz Figurski, Jarosław Pinkas
    International Journal of Environmental Research and Public Health.2021; 18(8): 3951.     CrossRef
  • Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading
    Stefanie Winkelmann, Johannes Zonker, Christof Schütte, Nataša Djurdjevac Conrad
    Mathematical Biosciences.2021; 336: 108619.     CrossRef
  • Novel coronavirus disease 2019 (COVID-19) pandemic: From transmission to control with an interdisciplinary vision
    Uttpal Anand, Carlo Cabreros, Joyabrata Mal, Florencio Ballesteros, Mika Sillanpää, Vijay Tripathi, Elza Bontempi
    Environmental Research.2021; 197: 111126.     CrossRef
  • Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis
    Stephen Wai Hang Kwok, Sai Kumar Vadde, Guanjin Wang
    Journal of Medical Internet Research.2021; 23(5): e26953.     CrossRef
  • Modelling the impact of household size distribution on the transmission dynamics of COVID-19
    Pengyu Liu, Lisa McQuarrie, Yexuan Song, Caroline Colijn
    Journal of The Royal Society Interface.2021;[Epub]     CrossRef
  • Previsione della propagazione di SARS-CoV-2 nello Stato di Amapá, Amazzonia, Brasile, mediante modellazione matematica
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2021; : 73.     CrossRef
  • Estimation of Transmission of COVID-19 in Simulated Nursing Homes With Frequent Testing and Immunity-Based Staffing
    Inga Holmdahl, Rebecca Kahn, James A. Hay, Caroline O. Buckee, Michael J. Mina
    JAMA Network Open.2021; 4(5): e2110071.     CrossRef
  • Estimation of novel coronavirus (COVID‐19) reproduction number and case fatality rate: A systematic review and meta‐analysis
    Tanvir Ahammed, Aniqua Anjum, Mohammad Meshbahur Rahman, Najmul Haider, Richard Kock, Md Jamal Uddin
    Health Science Reports.2021;[Epub]     CrossRef
  • Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers
    Raul Vicente, Youssef Mohamed, Victor M. Eguíluz, Emal Zemmar, Patrick Bayer, Joseph S. Neimat, Juha Hernesniemi, Bradley J. Nelson, Ajmal Zemmar
    Frontiers in Robotics and AI.2021;[Epub]     CrossRef
  • Who complies with coronavirus disease 2019 precautions and who does not?
    Róbert Urbán, Orsolya Király, Zsolt Demetrovics
    Current Opinion in Psychiatry.2021; 34(4): 363.     CrossRef
  • Gamma irradiation-mediated inactivation of enveloped viruses with conservation of genome integrity: Potential application for SARS-CoV-2 inactivated vaccine development
    Fouad A. Abolaban, Fathi M. Djouider
    Open Life Sciences.2021; 16(1): 558.     CrossRef
  • COVID-19 herd immunity in the absence of a vaccine: an irresponsible approach
    Jade Khalife, Derrick VanGennep
    Epidemiology and Health.2021; 43: e2021012.     CrossRef
  • Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19
    Vito Janko, Gašper Slapničar, Erik Dovgan, Nina Reščič, Tine Kolenik, Martin Gjoreski, Maj Smerkol, Matjaž Gams, Mitja Luštrek
    International Journal of Environmental Research and Public Health.2021; 18(13): 6750.     CrossRef
  • Impact of reduction of susceptibility to SARS-CoV-2 on epidemic dynamics in four early-seeded metropolitan regions
    Thomas J. Barrett, Karen C. Patterson, Timothy M. James, Peter Krüger
    Scientific Reports.2021;[Epub]     CrossRef
  • Asian-Origin Approved COVID-19 Vaccines and Current Status of COVID-19 Vaccination Program in Asia: A Critical Analysis
    Chiranjib Chakraborty, Ashish Ranjan Sharma, Manojit Bhattacharya, Govindasamy Agoramoorthy, Sang-Soo Lee
    Vaccines.2021; 9(6): 600.     CrossRef
  • Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations
    Jordan Douglas, Fábio K Mendes, Remco Bouckaert, Dong Xie, Cinthy L Jiménez-Silva, Christiaan Swanepoel, Joep de Ligt, Xiaoyun Ren, Matt Storey, James Hadfield, Colin R Simpson, Jemma L Geoghegan, Alexei J Drummond, David Welch
    Virus Evolution.2021;[Epub]     CrossRef
  • The current reproduction number of COVID-19 in Saudi Arabia: is the disease controlled?
    Theeb Ayedh Alkahtani, Abdullah Alakeel, Reem Abdullah Alakeel, Faten Abdulrahman Khorshid, Hisham Hamoud Alshammari, Abdullah M. Alguwaihes, Mohammad Almohideb, Eman Merghani Ali, May Bin-Jumah, Mohamed M. Abdel-Daim, Anwar Ali Jammah
    Environmental Science and Pollution Research.2021; 28(33): 44812.     CrossRef
  • Beyond the new normal: Assessing the feasibility of vaccine-based suppression of SARS-CoV-2
    Madison Stoddard, Sharanya Sarkar, Lin Yuan, Ryan P. Nolan, Douglas E. White, Laura F. White, Natasha S. Hochberg, Arijit Chakravarty, Muhammad Adrish
    PLOS ONE.2021; 16(7): e0254734.     CrossRef
  • A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea
    Hee-Young Shin
    Annals of Medicine.2021; 53(1): 1160.     CrossRef
  • A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics
    Alexandru Topîrceanu, Radu-Emil Precup
    Scientific Reports.2021;[Epub]     CrossRef
  • THE EFFECT OF COVID 19 FEAR ON QUALITY OF LIFE IN HEMODIALYSIS PATIENTS: A CORRELATION STUDY IN TURKEY
    Ayşe Gül PARLAK, Zümrüt AKGÜN ŞAHİN
    Samsun Sağlık Bilimleri Dergisi.2021; 6(2): 367.     CrossRef
  • Is compulsory home quarantine less effective than centralized quarantine in controlling the COVID-19 outbreak? Evidence from Hong Kong
    Pengyu Zhu, Xinying Tan
    Sustainable Cities and Society.2021; 74: 103222.     CrossRef
  • Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains
    Simon A. Rella, Yuliya A. Kulikova, Emmanouil T. Dermitzakis, Fyodor A. Kondrashov
    Scientific Reports.2021;[Epub]     CrossRef
  • Non-adherence to preventive behaviours during the COVID-19 epidemic: findings from a community study
    Róbert Urbán, Borbála Paksi, Ádám Miklósi, John B. Saunders, Zsolt Demetrovics
    BMC Public Health.2021;[Epub]     CrossRef
  • Prognostic value of neutrophil‐to‐lymphocyte ratio in COVID‐19 patients: A systematic review and meta‐analysis
    Juan R. Ulloque‐Badaracco, W. Ivan Salas‐Tello, Ali Al‐kassab‐Córdova, Esteban A. Alarcón‐Braga, Vicente A. Benites‐Zapata, Jorge L. Maguiña, Adrian V. Hernandez
    International Journal of Clinical Practice.2021;[Epub]     CrossRef
  • Determinants of COVID-19 vaccine acceptance and hesitancy: a cross-sectional study in Saudi Arabia
    Amar Ibrahim Omer Yahia, Abdullah Mohammed Alshahrani, Wael Gabir H. Alsulmi, Mohammed Mesfer M. Alqarni, Tamim Khalid Abdullah Abdulrahim, Waleed Faya H Heba, Turki Ayidh A. Alqarni, Khalid Ali Z Alharthi, Abdullah Ali A. Buhran
    Human Vaccines & Immunotherapeutics.2021; 17(11): 4015.     CrossRef
  • Modeling coupling dynamics between the transmission, intervention of COVID-19 and economic development
    Zhaowang Zhang, Lingming Kong, Hualiang Lin, Guanghu Zhu
    Results in Physics.2021; 28: 104632.     CrossRef
  • Vaccines and variants: Modelling insights into emerging issues in COVID-19 epidemiology
    Jamie M. Caldwell, Xuan Le, Lorin McIntosh, Michael T. Meehan, Samson Ogunlade, Romain Ragonnet, Genevieve K. O'Neill, James M. Trauer, Emma S. McBryde
    Paediatric Respiratory Reviews.2021; 39: 32.     CrossRef
  • Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 to Close Contacts, China, January–February 2020
    Yu Li, Jianhua Liu, Zhongcheng Yang, Jianxing Yu, Chengzhong Xu, Aiqin Zhu, Hao Zhang, Xiaokun Yang, Xin Zhao, Minrui Ren, Zhili Li, Jinzhao Cui, Hongting Zhao, Xiang Ren, Chengxi Sun, Ying Cheng, Qiulan Chen, Zhaorui Chang, Junling Sun, Lance E. Rodewald
    Emerging Infectious Diseases.2021; 27(9): 2288.     CrossRef
  • Living with COVID-19: The road ahead
    Wycliffe Enli Wei, Wei Keat Tan, Alex Richard Cook, Li Yang Hsu, Yik Ying Teo, Vernon Jian Ming Lee
    Annals of the Academy of Medicine, Singapore.2021; 50(8): 619.     CrossRef
  • “Mass gathering events and COVID-19 transmission in Borriana (Spain): A retrospective cohort study”
    Salvador Domènech-Montoliu, Maria Rosario Pac-Sa, Paula Vidal-Utrillas, Marta Latorre-Poveda, Alba Del Rio-González, Sara Ferrando-Rubert, Gema Ferrer-Abad, Manuel Sánchez-Urbano, Laura Aparisi-Esteve, Gema Badenes-Marques, Belén Cervera-Ferrer, Ursula Cl
    PLOS ONE.2021; 16(8): e0256747.     CrossRef
  • Effective vaccine allocation strategies, balancing economy with infection control against COVID-19 in Japan
    Satoshi Sunohara, Toshiaki Asakura, Takashi Kimura, Shun Ozawa, Satoshi Oshima, Daigo Yamauchi, Akiko Tamakoshi, Martial L. Ndeffo Mbah
    PLOS ONE.2021; 16(9): e0257107.     CrossRef
  • THE “FLU SEASONS” AND THE MISSING DATA: A MATCHED-PAIR ANALYSIS FOR THE PANDEMIC SEASON 2019_2020
    Vincent Kay Lo Ip
    International Journal of Research -GRANTHAALAYAH.2021; 9(8): 268.     CrossRef
  • A simple model for control of COVID-19 infections on an urban campus
    Robert A. Brown
    Proceedings of the National Academy of Sciences.2021;[Epub]     CrossRef
  • Clinical Characteristics and CT Imaging Features of COVID-19 on Admission: A Retrospective Study
    Changchun Liu, Jianping Cai, Mengmeng Zhang, Huizhen Li, Chunyan Liu, Jian Dong, Jinghui Dong
    Current Medical Imaging Formerly Current Medical Imaging Reviews.2021; 17(11): 1324.     CrossRef
  • Network models to evaluate vaccine strategies towards herd immunity in COVID-19
    Josephine N.A. Tetteh, Van Kinh Nguyen, Esteban A. Hernandez-Vargas
    Journal of Theoretical Biology.2021; 531: 110894.     CrossRef
  • Examining SARS-CoV-2 Interventions in Residential Colleges Using an Empirical Network
    Hali L. Hambridge, Rebecca Kahn, Jukka-Pekka Onnela
    International Journal of Infectious Diseases.2021; 113: 325.     CrossRef
  • Immunization using a heterogeneous geo-spatial population model: A qualitative perspective on COVID-19 vaccination strategies
    Alexandru Topîrceanu
    Procedia Computer Science.2021; 192: 2095.     CrossRef
  • Epidemiological characterization of COVID-19 – Pune, 2020-2021
    SumitD Bhardwaj, ManoharLal Choudhary, YogeshK Gurav, Priya Abraham, VarshaA Potdar
    Indian Journal of Medical Research.2021; 153(5): 542.     CrossRef
  • Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing
    Emily Howerton, Matthew J. Ferrari, Ottar N. Bjørnstad, Tiffany L. Bogich, Rebecca K. Borchering, Chris P. Jewell, James D. Nichols, William J. M. Probert, Michael C. Runge, Michael J. Tildesley, Cécile Viboud, Katriona Shea, Jennifer A. Flegg
    PLOS Computational Biology.2021; 17(10): e1009518.     CrossRef
  • Low case numbers enable long-term stable pandemic control without lockdowns
    Sebastian Contreras, Jonas Dehning, Sebastian B. Mohr, Simon Bauer, F. Paul Spitzner, Viola Priesemann
    Science Advances.2021;[Epub]     CrossRef
  • Rapid relaxation of pandemic restrictions after vaccine rollout favors growth of SARS-CoV-2 variants: A model-based analysis
    Debra Van Egeren, Madison Stoddard, Alexander Novokhodko, Michael S. Rogers, Diane Joseph-McCarthy, Bruce Zetter, Arijit Chakravarty, Martial L Ndeffo Mbah
    PLOS ONE.2021; 16(11): e0258997.     CrossRef
  • Stability, Bifurcation, and a Pair of Conserved Quantities in a Simple Epidemic System with Reinfection for the Spread of Diseases Caused by Coronaviruses
    Jorge Fernando Camacho, Cruz Vargas-De-León, Hassan A. El Morshedy
    Discrete Dynamics in Nature and Society.2021; 2021: 1.     CrossRef
  • Knowledge, Awareness, and Practices (KAP) towards COVID-19 among the marine fishers of Maharashtra State of India: An online cross-sectional Analysis
    Suhas Wasave, Sangita Wasave, Ketankumar Chaudhari, Prakash Shingare, Bharat Yadav, Sandesh Patil, Bhalchandra Naik, Amitava Mukherjee
    PLOS ONE.2021; 16(12): e0261055.     CrossRef
  • Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
    Matthieu Domenech de Cellès, Jean-Sebastien Casalegno, Bruno Lina, Lulla Opatowski
    PeerJ.2021; 9: e12566.     CrossRef
  • Ruling Out COVID-19 by Chest CT at Emergency Admission to Prevent In-Hospital Spread When Prevalence is Low – The Prospective, Observational SCOUT Study
    Ulf Karl-Martin Teichgräber, Amer Malouhi, Maja Ingwersen, Rotraud Neumann, Marina Reljic, Stefanie Deinhardt-Emmer, Bettina Löffler, Wilhelm Behringer, Jan-Christoph Lewejohann, Andreas Stallmach, Philipp A. Reuken
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Analysis and forecast of COVID-19 in India, USA and Italy - an application of ARIMA Model
    Elbin Siby, Maria Joseph, Aneena Thankachan, K. K. Jose
    Biometrics & Biostatistics International Journal.2021; 10(2): 75.     CrossRef
  • Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study
    Mohamad Nikpouraghdam, Alireza Jalali Farahani, GholamHossein Alishiri, Soleyman Heydari, Mehdi Ebrahimnia, Hossein Samadinia, Mojtaba Sepandi, Nematollah Jonaidi Jafari, Morteza Izadi, Ali Qazvini, Ruhollah Dorostkar, Mahdi Tat, Alireza Shahriary, Gholam
    Journal of Clinical Virology.2020; 127: 104378.     CrossRef
  • Preventing major outbreaks of COVID-19 in jails
    Justin T Okano, Sally Blower
    The Lancet.2020; 395(10236): 1542.     CrossRef
  • Predição da propagação do SARS-CoV-2 no Estado do Amapá, Amazônia, Brasil, por modelagem matemática
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Prediction of the propagation of SARS-CoV-2 in Amapá State, Amazon Region, Brazil, by mathematical modeling
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Price of Delay in Covid-19 Lockdowns: Delays Spike Total Cases, Natural Experiments Reveal
    Gerard J. Tellis, Ashish Sood, Nitish Sood
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Managing the R0 of COVID‐19: mathematics fights back
    J. J. Pandit
    Anaesthesia.2020; 75(12): 1643.     CrossRef
  • Estimating COVID-19 outbreak risk through air travel
    Yair Daon, Robin N Thompson, Uri Obolski
    Journal of Travel Medicine.2020;[Epub]     CrossRef
  • Decrease in Ambient Fine Particulate Matter during COVID-19 Crisis and Corresponding Health Benefits in Seoul, Korea
    Changwoo Han, Yun-Chul Hong
    International Journal of Environmental Research and Public Health.2020; 17(15): 5279.     CrossRef
  • “Tomorrow Never Dies”: Recent Advances in Diagnosis, Treatment, and Prevention Modalities against Coronavirus (COVID-19) amid Controversies
    Partha Laskar, Murali M. Yallapu, Subhash C. Chauhan
    Diseases.2020; 8(3): 30.     CrossRef
  • Years of Life Lost Attributable to COVID-19 in High-incidence Countries
    In-Hwan Oh, Minsu Ock, Su Yeon Jang, Dun-Sol Go, Young-Eun Kim, Yoon-Sun Jung, Ki Beom Kim, Hyesook Park, Min-Woo Jo, Seok-Jun Yoon
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Corona and the climate: a comparison of two emergencies
    Kira Vinke, Sabine Gabrysch, Emanuela Paoletti, Johan Rockström, Hans Joachim Schellnhuber
    Global Sustainability.2020;[Epub]     CrossRef
  • Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil
    Silvano Barbosa de Oliveira, Fabiana Ganem, Wildo Navegantes de Araújo, Jordi Casabona, Mauro Niskier Sanchez, Julio Croda
    Revista da Sociedade Brasileira de Medicina Tropical.2020;[Epub]     CrossRef
  • Transmission Dynamics of the COVID-19 Epidemic at the District Level in India: Prospective Observational Study
    Suman Saurabh, Mahendra Kumar Verma, Vaishali Gautam, Nitesh Kumar, Akhil Dhanesh Goel, Manoj Kumar Gupta, Pankaj Bhardwaj, Sanjeev Misra
    JMIR Public Health and Surveillance.2020; 6(4): e22678.     CrossRef
  • Clinical Characteristics of Critically Ill Patients Infected with COVID-19 in Rasoul Akram Hospital in Iran: A Single Center Study
    Poupak Rahimzadeh, Saied Amniati, Reza Farahmandrad, Seyed Hamid Reza Faiz, Setareh Hedayati Emami, Azadeh Habibi
    Anesthesiology and Pain Medicine.2020;[Epub]     CrossRef
  • Repeated Testing in SARS-CoV-2 Infection
    Giuseppe Lippi, Fabian Sanchis-Gomar, Brandon M. Henry
    Mayo Clinic Proceedings.2020; 95(10): 2283.     CrossRef
  • COVID-19 Transmission: Bangladesh Perspective
    Masud M A, Md Hamidul Islam, Khondaker A. Mamun, Byul Nim Kim, Sangil Kim
    Mathematics.2020; 8(10): 1793.     CrossRef
  • Early management of critically ill patients with COVID‐19
    Damián Gutiérrez‐Zarate, Karina Rosas‐Sánchez, Juan Carlos Flores‐Carrillo, Salvador Medrano‐Ahumada, Michel Martínez‐Franco
    Journal of the American College of Emergency Physicians Open.2020; 1(6): 1418.     CrossRef
  • Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
    Ka Chun Chong, Wei Cheng, Shi Zhao, Feng Ling, Kirran N. Mohammad, Maggie Wang, Benny CY Zee, Lai Wei, Xi Xiong, Hengyan Liu, Jingxuan Wang, Enfu Chen
    PeerJ.2020; 8: e10350.     CrossRef
  • Modelling Excess Mortality in Covid-19-Like Epidemics
    Zdzislaw Burda
    Entropy.2020; 22(11): 1236.     CrossRef
  • Reproductive number of coronavirus: A systematic review and meta-analysis based on global level evidence
    Md. Arif Billah, Md. Mamun Miah, Md. Nuruzzaman Khan, Maria Elena Flacco
    PLOS ONE.2020; 15(11): e0242128.     CrossRef
  • Compositional cyber-physical epidemiology of COVID-19
    Jin Woo Ro, Nathan Allen, Weiwei Ai, Debi Prasad, Partha S. Roop
    Scientific Reports.2020;[Epub]     CrossRef
  • Responsible Communication of Romanian Companies for Ensuring Public Health in a COVID-19 Pandemic Context
    Camelia-Daniela Hategan, Ruxandra-Ioana Curea-Pitorac, Vasile-Petru Hategan
    International Journal of Environmental Research and Public Health.2020; 17(22): 8526.     CrossRef
  • COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
    Frank Schlosser, Benjamin F. Maier, Olivia Jack, David Hinrichs, Adrian Zachariae, Dirk Brockmann
    Proceedings of the National Academy of Sciences.2020; 117(52): 32883.     CrossRef
  • Attitudes Toward a Potential SARS-CoV-2 Vaccine
    Kimberly A. Fisher, Sarah J. Bloomstone, Jeremy Walder, Sybil Crawford, Hassan Fouayzi, Kathleen M. Mazor
    Annals of Internal Medicine.2020; 173(12): 964.     CrossRef
  • Analysis and Forecast of COVID-19 in India, the US and Italy - An Application of Arima Model
    Elbin Siby, Maria Joseph, Noel George, Richu Rajesh, Aneena Thankachan
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Knowledge, Perceived Beliefs, and Preventive Behaviors Related to COVID-19 Among Chinese Older Adults: Cross-Sectional Web-Based Survey
    Ying Chen, Rui Zhou, Boyan Chen, Hao Chen, Ying Li, Zhi Chen, Haihong Zhu, Hongmei Wang
    Journal of Medical Internet Research.2020; 22(12): e23729.     CrossRef
  • Vorhersage der Ausbreitung von SARS-CoV-2 im brasilianischen Bundesstaat Amapá, Amazonas, durch mathematische Modellierung
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Predicción de la propagación del SARS-CoV-2 en el estado de Amapá, Amazonas, Brasil, por modelado matemático
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Prédiction de la propagation du SRAS-CoV-2 dans l’État d’Amapá, Amazônia, Brésil, par modélisation mathématique
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Прогнозирование распространения SARS-CoV-2 в штате Amapá, Амазонка, Бразилия, с помощью математического моделирования
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
Reviews
High Temperatures and Kidney Disease Morbidity: A Systematic Review and Meta-analysis
Woo-Seok Lee, Woo-Sung Kim, Youn-Hee Lim, Yun-Chul Hong
J Prev Med Public Health. 2019;52(1):1-13.   Published online November 20, 2018
DOI: https://doi.org/10.3961/jpmph.18.149
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AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
In recent years, serious concerns have been raised regarding the impacts of rising temperatures on health. The present study was conducted to investigate the relationship between elevated temperatures and kidney disease through a systematic review and meta-analysis.
Methods
In October 2017, 2 researchers independently searched related studies in PubMed and Embase. A meta-analysis was conducted using a random-effects model, including only studies that presented odds ratios, relative risks, or percentage changes, along with 95% confidence intervals (CIs). The characteristics of each study were summarized, and the Egger test and funnel plots were used to evaluate publication bias.
Results
Eleven studies that met the criteria were included in the final analysis. The pooled results suggest an increase of 30% (95% CI, 20 to 40) in kidney disease morbidity with high temperatures. In a disease-specific subgroup analysis, statistically significant results were observed for both renal colic or kidney stones and other renal diseases. In a study design–specific subgroup analysis, statistically significant results were observed in both time-series analyses and studies with other designs. In a temperature measure–specific subgroup analysis, significant results were likewise found for both studies using mean temperature measurements and studies measuring heat waves or heat stress.
Conclusions
Our results indicate that morbidity due to kidney disease increases at high temperatures. We also found significant results in subgroup analyses. However, further time-series analyses are needed to obtain more generalizable evidence.
Summary
Korean summary
최근들어 기온상승에 따른 건강영향과 관련하여 전 세계적으로 심각한 우려가 제기되고 있으며, 저자들은 이에 착안하여 본 연구에서 체계적 문헌고찰과 메타분석을 통해 기온상승과 신장질환 발생간의 연관성을 연구하고자 하였다. 연구결과에서는 임계온도 이상으로 기온이 상승하면 참고치에 비해 신장질환으로의 이환율이 30% (95% 신뢰구간, 20% 에서 40%) 증가함을 보였고, 부집단 분석에서도 역시 유의한 결과를 나타내었다. 그러나 보다 일반화 가능한 근거를 얻기 위해서는 기온상승과 신장질환 발생에 관한 더 많은 시계열 분석 연구가 필요할 것으로 사료된다.

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  • Heat exposure and chronic kidney disease: a temporal link in a Taiwanese agricultural county
    Che-Jui Chang, Chun-Yi Chi, Hsiao-Yu Yang
    International Journal of Environmental Health Research.2024; 34(3): 1511.     CrossRef
  • The association between climate and emergency department visits for renal and urinary disease in Charlottesville, Virginia
    Jesus S. Neyra, Robert E. Davis
    Environmental Research.2024; 240: 117525.     CrossRef
  • Impact of heat on emergency hospital admissions related to kidney diseases in Texas: Uncovering racial disparities
    Chunyu Guo, Erjia Ge, Manzhu Yu, Changwei Li, Xiangqian Lao, Shuang Li, Jason Glaser, Yongqun He, Marina Almeida-Silva, Sisi Meng, Wei-Chung Su, Junfeng Zhang, Shao Lin, Kai Zhang
    Science of The Total Environment.2024; 909: 168377.     CrossRef
  • Associations between short-term exposure to ambient temperature and renal disease mortality in Japan during 1979–2019: A time-stratified case-crossover analysis
    Zin Wai Htay, Chris Fook Sheng Ng, Yoonhee Kim, Youn-Hee Lim, Masao Iwagami, Masahiro Hashizume
    Environmental Epidemiology.2024; 8(1): e293.     CrossRef
  • Workplace induced heat-related-illness and kidney disorders among coal cutters of underground mines
    Madiha Ijaz, Sajid R Ahmad, Muhammad Akram, William S Carter
    Indoor and Built Environment.2024;[Epub]     CrossRef
  • Long-term exposure to high perceived temperature and risk of mortality among patients with chronic kidney disease
    Jeonghwan Lee, Sohee Oh, Jae-Young Byon, Whanhee Lee, Boram Weon, Ara Ko, Wencheng Jin, Dong Ki Kim, Sejoong Kim, Yun Kyu Oh, Yon Su Kim, Chun Soo Lim, Jung Pyo Lee
    Heliyon.2024; 10(3): e25222.     CrossRef
  • Molecular Challenges and Opportunities in Climate Change-Induced Kidney Diseases
    Eder Luna-Cerón, Alfredo Pherez-Farah, Indumathi Krishnan-Sivadoss, Carlos Enrique Guerrero-Beltrán
    Biomolecules.2024; 14(3): 251.     CrossRef
  • Ambient heat and acute kidney injury: case-crossover analysis of 1 354 675 automated e-alert episodes linked to high-resolution climate data
    Shakoor Hajat, Anna Casula, Peninah Murage, Daniel Omoyeni, Tom Gray, Zoe Plummer, Retha Steenkamp, Dorothea Nitsch
    The Lancet Planetary Health.2024; 8(3): e156.     CrossRef
  • Ambient heat exposure and kidney function in patients with chronic kidney disease: a post-hoc analysis of the DAPA-CKD trial
    Zhiyan Zhang, Hiddo J L Heerspink, Glenn M Chertow, Ricardo Correa-Rotter, Antonio Gasparrini, Niels Jongs, Anna Maria Langkilde, John J V McMurray, Malcolm N Mistry, Peter Rossing, Robert D Toto, Priya Vart, Dorothea Nitsch, David C Wheeler, Ben Caplin
    The Lancet Planetary Health.2024; 8(4): e225.     CrossRef
  • High ambient temperature impact on the pattern of emergency-room visits due to renal colic in the Middle East
    Orel Hemo, Arad Dotan, Asaf Shvero, Nir Kleinmann, Zohar A. Dotan, Dorit E. Zilberman
    Urolithiasis.2024;[Epub]     CrossRef
  • Association of summer temperatures and acute kidney injury in South Korea: a case-crossover study
    Joonho Ahn, Sanghyuk Bae, Byung Ha Chung, Jun-Pyo Myong, Min Young Park, Youn-Hee Lim, Mo-Yeol Kang
    International Journal of Epidemiology.2023; 52(3): 774.     CrossRef
  • Associations Between Ambient Extreme Heat Exposure and Emergency Department Visits Related to Kidney Disease
    Yanji Qu, Wangjian Zhang, Asi-Yahola M. Boutelle, Ian Ryan, Xinlei Deng, Xiaoqing Liu, Shao Lin
    American Journal of Kidney Diseases.2023; 81(5): 507.     CrossRef
  • Association of Area‐Level Heat and Social Vulnerability With Recurrent Hospitalizations Among Individuals With Rheumatic Conditions
    Leah Santacroce, Paul F. Dellaripa, Karen H. Costenbader, Jamie Collins, Candace H. Feldman
    Arthritis Care & Research.2023; 75(1): 22.     CrossRef
  • Risk Factors for Incident CKD in Black and White Americans: The REGARDS Study
    Katharine L. Cheung, Deidra C. Crews, Mary Cushman, Ya Yuan, Katherine Wilkinson, D. Leann Long, Suzanne E. Judd, Michael G. Shlipak, Joachim H. Ix, Alexander L. Bullen, David G. Warnock, Orlando M. Gutiérrez
    American Journal of Kidney Diseases.2023; 82(1): 11.     CrossRef
  • Sauna bathing, renal function and chronic kidney disease: Cross‐sectional and longitudinal findings from the KIHD study
    Setor K. Kunutsor, Jussi Kauhanen, Jari A. Laukkanen
    European Journal of Clinical Investigation.2023;[Epub]     CrossRef
  • Urban heat island impacts on heat-related cardiovascular morbidity: A time series analysis of older adults in US metropolitan areas
    Stephanie E. Cleland, William Steinhardt, Lucas M. Neas, J. Jason West, Ana G. Rappold
    Environment International.2023; 178: 108005.     CrossRef
  • Pathophysiologie und Management der Hitzeerkrankung
    Thomas Bein
    Medizinische Klinik - Intensivmedizin und Notfallmedizin.2023;[Epub]     CrossRef
  • Renal dysfunction in general overheating (literature review)
    O.V. Kravets, V.V. Yekhalov, V.A. Sedinkin, O.V. Pylypenko, D.A. Martynenko
    KIDNEYS.2023; 12(3): 150.     CrossRef
  • The Impact of Hot Ambient Temperature and Prolonged Fasting Duration during Ramadan on Patients with Chronic Kidney Disease: A Literature Review
    Ali AlSahow, Joshua Rein
    International Journal of Nephrology.2023; 2023: 1.     CrossRef
  • Methodological and reporting quality of systematic reviews on health effects of air pollutants were higher than extreme temperatures: a comparative study
    Xuping Song, Qiyin Luo, Liangzhen Jiang, Yan Ma, Yue Hu, Yunze Han, Rui Wang, Jing Tang, Yiting Guo, Qitao Zhang, Zhongyu Ma, Yunqi Zhang, Xinye Guo, Shumei Fan, Chengcheng Deng, Xinyu Fu, Yaolong Chen, Kehu Yang, Long Ge, Shigong Wang
    BMC Public Health.2023;[Epub]     CrossRef
  • Health effects of climate change: Focusing on health sector risks
    Jieun Oh, Ayoung Kim, Cinoo Kang, Ho Kim
    Journal of Climate Change Research.2023; 14(6-1): 859.     CrossRef
  • Long-term air pollution exposure and decreased kidney function: A longitudinal cohort study in Bangkok Metropolitan Region, Thailand from 2002 to 2012
    Kanawat Paoin, Kayo Ueda, Prin Vathesatogkit, Thammasin Ingviya, Suhaimee Buya, Racha Dejchanchaiwong, Arthit Phosri, Xerxes Tesoro Seposo, Chagriya Kitiyakara, Nisakron Thongmung, Akiko Honda, Hirohisa Takano, Piyamitr Sritara, Perapong Tekasakul
    Chemosphere.2022; 287: 132117.     CrossRef
  • Association between ambient temperature and hospitalization for renal diseases in Brazil during 2000–2015: A nationwide case-crossover study
    Bo Wen, Rongbin Xu, Yao Wu, Micheline de Sousa Zanotti Stagliorio Coêlho, Paulo Hilario Nascimento Saldiva, Yuming Guo, Shanshan Li
    The Lancet Regional Health - Americas.2022; 6: 100101.     CrossRef
  • Heat-related mortality amplified during the COVID-19 pandemic
    Pedro M. Sousa, Ricardo M. Trigo, Ana Russo, João L. Geirinhas, Ana Rodrigues, Susana Silva, Ana Torres
    International Journal of Biometeorology.2022; 66(3): 457.     CrossRef
  • Knowledge Gaps and Research Priorities on the Health Effects of Heatwaves: A Systematic Review of Reviews
    Andrea Conti, Martina Valente, Matteo Paganini, Marco Farsoni, Luca Ragazzoni, Francesco Barone-Adesi
    International Journal of Environmental Research and Public Health.2022; 19(10): 5887.     CrossRef
  • Temporal variations of the association between summer season heat exposure and hospitalizations for renal diseases in Queensland, Australia, 1995–2016
    Peng Lu, Jiaming Miao, Shurong Feng, Donna Green, Youn-Hee Lim, Xiuwei Gao, Shanshan Li, Yuming Guo
    Environmental Research Letters.2022; 17(6): 064047.     CrossRef
  • Mortality and morbidity of chronic kidney disease associated with ambient environment in metropolitans in Taiwan
    Yasmin Zafirah, Yu-Kai Lin, Gerry Andhikaputra, Fung-Chang Sung, Li-Wen Deng, Yu-Chun Wang
    Atmospheric Environment.2022; 289: 119317.     CrossRef
  • The Risk Factors for Radiolucent Nephrolithiasis among Workers in High-Temperature Workplaces in the Steel Industry
    I-Cheng Lu, Chen-Cheng Yang, Chi-Hsien Huang, Szu-Ying Chen, Chi-Wei Lin, Chia-Hsiang Lin, Hung-Yi Chuang
    International Journal of Environmental Research and Public Health.2022; 19(23): 15720.     CrossRef
  • The effect of the heatwave on the morbidity and mortality of diabetes patients; a meta-analysis for the era of the climate crisis
    Jinyoung Moon
    Environmental Research.2021; 195: 110762.     CrossRef
  • Hot weather as a risk factor for kidney disease outcomes: A systematic review and meta-analysis of epidemiological evidence
    Jingwen Liu, Blesson M. Varghese, Alana Hansen, Matthew A. Borg, Ying Zhang, Timothy Driscoll, Geoffrey Morgan, Keith Dear, Michelle Gourley, Anthony Capon, Peng Bi
    Science of The Total Environment.2021; 801: 149806.     CrossRef
  • Estimation of the kidney metabolic heat generation rate
    Helcio R.B. Orlande, Nelson Afonso Lutaif, José Antonio Rocha Gontijo
    International Journal for Numerical Methods in Biomedical Engineering.2019;[Epub]     CrossRef
  • Global Associations of Air Pollution and Conjunctivitis Diseases: A Systematic Review and Meta-Analysis
    Renchao Chen, Jun Yang, Chunlin Zhang, Bixia Li, Stéphanie Bergmann, Fangfang Zeng, Hao Wang, Boguang Wang
    International Journal of Environmental Research and Public Health.2019; 16(19): 3652.     CrossRef
Congenital Malformations in Infants of Mothers Undergoing Assisted Reproductive Technologies: A Systematic Review and Meta-analysis Study
Hayedeh Hoorsan, Parvin Mirmiran, Shahla Chaichian, Yousef Moradi, Roza Hoorsan, Fatemeh Jesmi
J Prev Med Public Health. 2017;50(6):347-360.   Published online July 5, 2017
DOI: https://doi.org/10.3961/jpmph.16.122
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AbstractAbstract PDFSupplementary Material
Objectives
This meta-analysis aimed to evaluate congenital malformations in infants conceived by assisted reproductive techniques (ART), compared with infants conceived spontaneously.
Methods
In this study, available resources searched to find relevant articles included PubMed, ScienceDirect, Scopus, Google Scholar, Cochrane, ProQuest, Iranmedex, Magiran, and Scientific Information Database. After extracting the necessary information from evaluated articles, meta-analysis on the articles’ data was performed using Stata version 11.2.
Results
In this study, from a total of 339 articles, extracted from the initial investigation, ultimately 30 articles were selected for meta-analysis that assessed the use of ART on the risk of congenital abnormalities and some birth complications on 5 470 181 infants (315 402 cases and 5 154 779 controls). The odds ratio (95% confidence interval [CI]) for low birth weight was 1.89 (95% CI, 1.36 to 2.62), preterm labor 1.79 (95% CI, 1.21 to 2.63), cardiac abnormalities 1.43 (95% CI, 1.27 to 1.62), central nervous system abnormalities 1.36 (95% CI, 1.10 to 1.70), urogenital system abnormalities 1.58 (95% CI, 1.28 to 1.94), musculoskeletal disorders 1.35 (95% CI, 1.12 to 1.64), and chromosomal abnormalities in infants conceived by ART was 1.14 (95% CI, 0.90 to 1.44), which were all statistically significant, except chromosomal abnormalities.
Conclusions
The risk of congenital abnormalities and some birth complications were significantly higher in ART than normal conception, while chromosomal abnormalities were not; therefore, the application of ART should be selected individually for patients by detailed assessment to reduce such risks in the population.
Summary

Citations

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  • The association between in vitro fertilization and intracytoplasmic sperm injection treatment and the risk of congenital heart defects
    Taravat Talebi, Neda Mohsen-Pour, Mahshid Hesami, Majid Maleki, Samira Kalayinia
    The Journal of Maternal-Fetal & Neonatal Medicine.2024; 35(25): 7471.     CrossRef
  • Type of infertility and prevalence of congenital malformations
    Olga Basso, Gabriel D. Shapiro, Robert Gagnon, Robyn Tamblyn, Robert W. Platt
    Paediatric and Perinatal Epidemiology.2024; 38(1): 43.     CrossRef
  • Diagnosis and management of infertility: NICE-adapted guidelines from the Italian Society of Human Reproduction
    Stefano Palomba, Paola Viganò, Sandrine Chamayou, Zaira Donarelli, Maria Paola Costantini, Roberto Marci, Paola Piomboni, Egidio Fino, Luigi Montano, Antonino Guglielmino, Edgardo Somigliana, Nicola Arrighi, Anna Biallo, Luca Boeri, Antonella Cinotti, Eli
    Reproductive Biology and Endocrinology.2024;[Epub]     CrossRef
  • Maternal and neonatal outcomes of dichorionic twin pregnancies achieved with assisted reproductive technology: meta-analysis of contemporary data
    Li Chen, Qiyin Dong, Rongqin Weng
    Journal of Assisted Reproduction and Genetics.2024; 41(3): 581.     CrossRef
  • Assisted reproduction and congenital malformations: A systematic review and meta‐analysis
    Meenakshi Veeramani, Neerujah Balachandren, Yong Hwa Hong, Jiyoon Lee, Antonio F. Corno, Dimitrios Mavrelos, Stavroula L. Kastora
    Congenital Anomalies.2024;[Epub]     CrossRef
  • Long-Term Effects of ART on the Health of the Offspring
    Hamid Ahmadi, Leili Aghebati-Maleki, Shima Rashidiani, Timea Csabai, Obodo Basil Nnaemeka, Julia Szekeres-Bartho
    International Journal of Molecular Sciences.2023; 24(17): 13564.     CrossRef
  • General health in a cohort of children conceived after assisted reproductive technology in the United Kingdom: a population-based record-linkage study
    Alastair G. Sutcliffe, Mitana Purkayastha, Daniel R. Brison, Scott M. Nelson, Stephen A. Roberts, Deborah A. Lawlor
    American Journal of Obstetrics and Gynecology.2023; 228(1): 82.e1.     CrossRef
  • Decreased fetal thymus size in pregnancies after assisted reproductive technologies
    Koray Gök, Selçuk Ozden
    The Journal of Maternal-Fetal & Neonatal Medicine.2023;[Epub]     CrossRef
  • Risk of congenital malformations in live-born singletons conceived after intracytoplasmic sperm injection: a Nordic study from the CoNARTaS group
    Anna-Karina Aaris Henningsen, Signe Opdahl, Ulla-Britt Wennerholm, Aila Tiitinen, Steen Rasmussen, Liv Bente Romundstad, Christina Bergh, Mika Gissler, Julie Lyng Forman, Anja Pinborg
    Fertility and Sterility.2023; 120(5): 1033.     CrossRef
  • Perinatal and Long-Term Health Risks of Offspring with Assisted Reproductive Technology
    佳欣 吴
    Advances in Clinical Medicine.2023; 13(11): 18353.     CrossRef
  • Maternal effect genes: Update and review of evidence for a link with birth defects
    Laura E. Mitchell
    Human Genetics and Genomics Advances.2022; 3(1): 100067.     CrossRef
  • Society for Maternal-Fetal Medicine Consult Series #60: Management of pregnancies resulting from in vitro fertilization
    Alessandro Ghidini, Manisha Gandhi, Jennifer McCoy, Jeffrey A. Kuller
    American Journal of Obstetrics and Gynecology.2022; 226(3): B2.     CrossRef
  • Epigenetic Effect of Maternal Methyl-Group Donor Intake on Offspring’s Health and Disease
    Szilvia Bokor, Réka A. Vass, Simone Funke, Tibor Ertl, Dénes Molnár
    Life.2022; 12(5): 609.     CrossRef
  • Commentaar: Fertiliteitsbehandeling anno 2022: quo vadis?
    W. Gyselaers
    Tijdschrift voor Geneeskunde.2022;[Epub]     CrossRef
  • Aide médicale à la procréation, malformations congénitales et santé postnatale
    A. Bouazzaoui, E. Launay, A. Lokchine, C. Quélin, S. Duros, G.-L. Bouar, F. Rouget, F. Vialard, S. Odent, M.-A. Belaud-Rotureau, S. Jaillard
    Périnatalité.2022; 14(2): 77.     CrossRef
  • The Use of Assisted Reproductive Technology by European Childhood Cancer Survivors
    Anja Borgmann-Staudt, Simon Michael, Greta Sommerhaeuser, Marta-Julia Fernández-González, Lucía Alacán Friedrich, Stephanie Klco-Brosius, Tomas Kepak, Jarmila Kruseova, Gisela Michel, Anna Panasiuk, Sandrin Schmidt, Laura Lotz, Magdalena Balcerek
    Current Oncology.2022; 29(8): 5748.     CrossRef
  • Health outcomes in offspring born to survivors of childhood cancers following assisted reproductive technologies
    Greta Sommerhäuser, Anja Borgmann-Staudt, Kathy Astrahantseff, Katja Baust, Gabriele Calaminus, Ralf Dittrich, Marta J. Fernández-González, Heike Hölling, Charlotte J. König, Ralph Schilling, Theresa Schuster, Laura Lotz, Magdalena Balcerek
    Journal of Cancer Survivorship.2021; 15(2): 259.     CrossRef
  • Assisted reproductive technologies and the risk of congenital urogenital tract malformations: A systematic review and meta-analysis
    ZhiCheng Zhang, Xing Liu, Chun Wei, Jin Luo, Yan Shi, Tao Lin, DaWei He, GuangHui Wei
    Journal of Pediatric Urology.2021; 17(1): 9.     CrossRef
  • Six-year follow-up of children born from vitrified oocytes
    Yuya Takeshige, Mizuho Takahashi, Tomoko Hashimoto, Koichi Kyono
    Reproductive BioMedicine Online.2021; 42(3): 564.     CrossRef
  • Maternal and neonatal outcome and children’s development after medically assisted reproduction with in-vitro matured oocytes—a systematic review and meta-analysis
    Thomas Strowitzki, Thomas Bruckner, Sabine Roesner
    Human Reproduction Update.2021; 27(3): 460.     CrossRef
  • Expression and DNA Methylation Status of the Imprinted Genes PEG10 and L3MBTL1 in the Umbilical Cord Blood and Placenta of the Offspring of Assisted Reproductive Technology
    Yun-xia Wang, Li-fang Yue, Jun-wei Zhang, Yi-wen Xiong, Ji-jun Hu, Lu-lu Wang, Zhe Li, Yang Liu, Lu Yang, Li-jun Sun
    Reproductive Sciences.2021; 28(4): 1133.     CrossRef
  • Possible association between in vitro fertilization technologies and offspring neoplasm
    Maayan Hagbi Bal, Avi Harlev, Ruslan Sergienko, Eliahu Levitas, Iris Har-Vardi, Atif Zeadna, Aya Mark-Reich, Hadas Becker, Noa Ben-David, Lechaim Naggan, Tamar Wainstock
    Fertility and Sterility.2021; 116(1): 105.     CrossRef
  • A systematic review and meta-analysis on the association between ICSI and chromosome abnormalities
    Sine Berntsen, Hannele Laivuori, Nina la Cour Freiesleben, Anne Loft, Viveca Söderström-Anttila, Nan B Oldereid, Liv Bente Romundstad, Åsa Magnusson, Max Petzold, Christina Bergh, Anja Pinborg
    Human Reproduction Update.2021; 27(5): 801.     CrossRef
  • ASSOCIATION OF CONGENITAL ANOMALIES IN LIVE BIRTHS WITH THEIR OBSTETRIC-NEONATAL AND SOCIODEMOGRAPHIC PROFILES
    Luana Cristina de Souza Freitas, Altacílio Aparecido Nunes, Joilson Meneguci, Genezio Cândido do Nascimento Neto, Sybelle de Souza Castro
    Texto & Contexto - Enfermagem.2021;[Epub]     CrossRef
  • Hearing Screening Test Results of Newborns Conceived by Intracytoplasmic Sperm Injection: A Retrospective Study of Tertiary Referral Center
    Umit Yasemin Sert, Hatice Kansu Celik, Fuat Emre Canpolat, Gülsüm Kadıoğlu Sımsek, Yaprak Engin Ustun
    Fetal and Pediatric Pathology.2020; 39(4): 288.     CrossRef
  • Effects of the normal sperm morphology rate on the clinical and neonatal outcomes of conventional IVF cycles
    Linjun Chen, Dong Li, Xiaobei Ni, Lihua Zhu, Ningyuan Zhang, Junshun Fang, Weihua Jiang, Jie Wang
    Andrologia.2020;[Epub]     CrossRef
  • Is a Fetal Echocardiography Necessary in IVF‐ICSI Pregnancies After Anatomic Survey?
    Oluyemi A. Aderibigbe, Angela C. Ranzini
    Journal of Clinical Ultrasound.2020; 48(6): 307.     CrossRef
  • Perinatale und peripartale Risiken in Abhängigkeit vom Konzeptionsmodus
    Frauke von Versen-Höynck
    Gynäkologische Endokrinologie.2020; 18(4): 189.     CrossRef
  • Head and neck tumors and assisted reproductive technologies: social and legal aspects
    N. A. Ognerubov
    Head and Neck Tumors (HNT).2020; 10(3): 90.     CrossRef
  • In Vitro Fertilization Technology and Child Health
    Michael von Wolff, Thomas Haaf
    Deutsches Ärzteblatt international.2020;[Epub]     CrossRef
  • Clinical Application of Cell-Free DNA Sequencing-Based Noninvasive Prenatal Testing for Trisomies 21, 18, 13 and Sex Chromosome Aneuploidy in a Mixed-Risk Population in Iran
    Masoud Garshasbi, Yicong Wang, Sedigheh Hantoosh Zadeh, Sima Giti, Solmaz Piri, Mohammad Reza Hekmat
    Fetal Diagnosis and Therapy.2020; 47(3): 220.     CrossRef
  • Comparison of Intracytoplasmic Sperm Injection Outcome with Sperm Selection Techniques in Oligoasthenozoospermic Males: A Randomized Controlled Trial
    Maryam Sefidgar Tehrani, Malihe Amirian, Mohsen Jalali, Armin Attaranzadeh, Alireza Fazel, Alireza Ebrahimzadeh-Bideskan
    Iranian Red Crescent Medical Journal.2019;[Epub]     CrossRef
  • Prevalence, types, and malformations in congenital anomalies of the kidney and urinary tract in newborns: a retrospective hospital-based study
    Zhong-yi Li, Yan-min Chen, Li-qian Qiu, Dan-qing Chen, Chong-gao Hu, Jian-yun Xu, Xiao-hui Zhang
    Italian Journal of Pediatrics.2019;[Epub]     CrossRef
  • Offspring's health after IVF (literature review)
    A. I. Nikitin
    Problemy reproduktsii.2019; 25(3): 28.     CrossRef
  • Epigenetics and Neurological Disorders in ART
    Marina La Rovere, Marica Franzago, Liborio Stuppia
    International Journal of Molecular Sciences.2019; 20(17): 4169.     CrossRef
  • Severity of congenital heart defects associated with assisted reproductive technologies: Case series and review of the literature
    Avinash S. Patil, Cynthia Nguyen, Katie Groff, Jonathan Wu, John Elliott, Ravindu P. Gunatilake
    Birth Defects Research.2018; 110(8): 654.     CrossRef
Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies
Jong-Myon Bae, Eun Hee Kim
J Prev Med Public Health. 2016;49(6):367-375.   Published online October 21, 2016
DOI: https://doi.org/10.3961/jpmph.16.054
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  • 46 Crossref
AbstractAbstract PDF
Objectives
The established theory that breast density is an independent predictor of breast cancer risk is based on studies targeting white women in the West. More Asian women than Western women have dense breasts, but the incidence of breast cancer is lower among Asian women. This meta-analysis investigated the association between breast density in mammography and breast cancer risk in Asian women.
Methods
PubMed and Scopus were searched, and the final date of publication was set as December 31, 2015. The effect size in each article was calculated using the interval-collapse method. Summary effect sizes (sESs) and 95% confidence intervals (CIs) were calculated by conducting a meta-analysis applying a random effect model. To investigate the dose-response relationship, random effect dose-response meta-regression (RE-DRMR) was conducted.
Results
Six analytical epidemiology studies in total were selected, including one cohort study and five case-control studies. A total of 17 datasets were constructed by type of breast density index and menopausal status. In analyzing the subgroups of premenopausal vs. postmenopausal women, the percent density (PD) index was confirmed to be associated with a significantly elevated risk for breast cancer (sES, 2.21; 95% CI, 1.52 to 3.21; I2=50.0%). The RE-DRMR results showed that the risk of breast cancer increased 1.73 times for each 25% increase in PD in postmenopausal women (95% CI, 1.20 to 2.47).
Conclusions
In Asian women, breast cancer risk increased with breast density measured using the PD index, regardless of menopausal status. We propose the further development of a breast cancer risk prediction model based on the application of PD in Asian women.
Summary

Citations

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  • Intelligent scoring system based on dynamic optical breast imaging for early detection of breast cancer
    Yaoyao Li, Yipei Zhang, Qiang Yu, Chenglong He, Xiguo Yuan
    Biomedical Optics Express.2024; 15(3): 1515.     CrossRef
  • Physical Activity and Mammographic Density in Japanese Women
    Mihye Lee, Rina Kotake, Hideko Yamauchi
    Cancer Epidemiology, Biomarkers & Prevention.2024; 33(3): 365.     CrossRef
  • The association between mammographic density and breast cancer risk in Chinese women: a systematic review and meta-analysis
    Song Bai, Di Song, Ming Chen, Xiaoshu Lai, Jinfeng Xu, Fajin Dong
    BMC Women's Health.2024;[Epub]     CrossRef
  • Polygenic risk score-based prediction of breast cancer risk in Taiwanese women with dense breast using a retrospective cohort study
    Chih-Chiang Hung, Sin-Hua Moi, Hsin-I Huang, Tzu-Hung Hsiao, Chi-Cheng Huang
    Scientific Reports.2024;[Epub]     CrossRef
  • Polygenic risk scores for prediction of breast cancer in Korean women
    Yon Ho Jee, Weang-Kee Ho, Sohee Park, Douglas F Easton, Soo-Hwang Teo, Keum Ji Jung, Peter Kraft
    International Journal of Epidemiology.2023; 52(3): 796.     CrossRef
  • Estimating Age-Specific Mean Sojourn Time of Breast Cancer and Sensitivity of Mammographic Screening by Breast Density among Korean Women
    Eunji Choi, Mina Suh, So-Youn Jung, Kyu-Won Jung, Sohee Park, Jae Kwan Jun, Kui Son Choi
    Cancer Research and Treatment.2023; 55(1): 136.     CrossRef
  • Current Trends in the Utilization of Preoperative Breast Magnetic Resonance Imaging Among Women With Newly Diagnosed Breast Cancer
    I-Wen Pan, Tina W.F. Yen, Isabelle Bedrosian, Ya-Chen Tina Shih
    JCO Oncology Practice.2023; 19(7): 446.     CrossRef
  • International Interobserver Variability of Breast Density Assessment
    Leah H. Portnow, Lina Choridah, Kardinah Kardinah, Triwulan Handarini, Ruud Pijnappel, Adriana M.J. Bluekens, Lucien E.M. Duijm, Peter K. Schoub, Pamela S. Smilg, Liat Malek, Jessica W.T. Leung, Sughra Raza
    Journal of the American College of Radiology.2023; 20(7): 671.     CrossRef
  • Deep Learning Analysis of Mammography for Breast Cancer Risk Prediction in Asian Women
    Hayoung Kim, Jihe Lim, Hyug-Gi Kim, Yunji Lim, Bo Kyoung Seo, Min Sun Bae
    Diagnostics.2023; 13(13): 2247.     CrossRef
  • The diagnostic accuracy of mammography and ultrasonography for recurrent breast cancer after breast conserving treatment
    Piyakan Pathanasethpong, Supajit Nawapun, Payia Chadbunchachai, Ongart Somintara, Chaiwat Apivatanasiri, Arunnit Boonrod
    European Journal of Radiology Open.2023; 11: 100514.     CrossRef
  • Fine-needle aspiration biopsy possibilities in studying the molecular genetic landscape of breast tissue
    V.  V.  Rodionov, O.  V.  Burmenskaya, V.  V.  Kometova, A.  A.  Smetnik, M.  V.  Rodionova, D.  Yu.  Trofimov, L.  A.  Ashrafyan, G.  T.  Sukhikh
    Tumors of female reproductive system.2023; 19(4): 16.     CrossRef
  • miR-146a Enhances the Sensitivity of Breast Cancer Cells to Paclitaxel by Downregulating IRAK1
    Yalun Li, Weilong Li, Jun Lin, Chunjing Lv, Guangdong Qiao
    Cancer Biotherapy and Radiopharmaceuticals.2022; 37(8): 624.     CrossRef
  • Current status of AYA-generation breast cancer: trends worldwide and in Japan
    Manabu Futamura, Kazuhiro Yoshida
    International Journal of Clinical Oncology.2022; 27(1): 16.     CrossRef
  • A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses
    Matteo Interlenghi, Christian Salvatore, Veronica Magni, Gabriele Caldara, Elia Schiavon, Andrea Cozzi, Simone Schiaffino, Luca Alessandro Carbonaro, Isabella Castiglioni, Francesco Sardanelli
    Diagnostics.2022; 12(1): 187.     CrossRef
  • Global guidelines for breast cancer screening: A systematic review
    Wenhui Ren, Mingyang Chen, Youlin Qiao, Fanghui Zhao
    The Breast.2022; 64: 85.     CrossRef
  • Utility of U-Net for the objective segmentation of the fibroglandular tissue region on clinical digital mammograms
    Mika Yamamuro, Yoshiyuki Asai, Naomi Hashimoto, Nao Yasuda, Hiorto Kimura, Takahiro Yamada, Mitsutaka Nemoto, Yuichi Kimura, Hisashi Handa, Hisashi Yoshida, Koji Abe, Masahiro Tada, Hitoshi Habe, Takashi Nagaoka, Seiun Nin, Kazunari Ishii, Yohan Kondo
    Biomedical Physics & Engineering Express.2022; 8(4): 045016.     CrossRef
  • Breast Cancer Disparities in Asian Women: The Need for Disaggregated Research
    Lauren Fane, Tithi Biswas, Charulata Jindal, Yuk Ming Choi, Jimmy T. Efird
    International Journal of Environmental Research and Public Health.2022; 19(16): 9790.     CrossRef
  • Vertical Breast Displacement in Asian Women During Exercise: influence of Bra Type, Size and Different Parts of the Breast
    Xinyang Sheng, Xiaona Chen, Mark John Lake
    Fibres & Textiles in Eastern Europe.2022; 30(3): 1.     CrossRef
  • Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature
    Akila Anandarajah, Yongzhen Chen, Graham A. Colditz, Angela Hardi, Carolyn Stoll, Shu Jiang
    Breast Cancer Research.2022;[Epub]     CrossRef
  • Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach
    William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Yun Boyer, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal R. Vijayaraghavan, A. Gregory Sorensen
    Nature Medicine.2021; 27(2): 244.     CrossRef
  • Association between changes in mammographic density category and the risk of breast cancer: A nationwide cohort study in East‐Asian women
    Soyeoun Kim, Boyoung Park
    International Journal of Cancer.2021; 148(11): 2674.     CrossRef
  • Dense Breast Notification Laws’ Association With Outcomes in the US Population: A Cross-Sectional Study
    Nancy R. Kressin, Tracy A. Battaglia, Jolie B. Wormwood, Priscilla J. Slanetz, Christine M. Gunn
    Journal of the American College of Radiology.2021; 18(5): 685.     CrossRef
  • Breast Cancer Lesion Detection and Classification in mammograms using Deep Neural
    A R J Silalahi
    IOP Conference Series: Materials Science and Engineering.2021; 1115(1): 012018.     CrossRef
  • Cancer Progress and Priorities: Breast Cancer
    Serena C. Houghton, Susan E. Hankinson
    Cancer Epidemiology, Biomarkers & Prevention.2021; 30(5): 822.     CrossRef
  • Enhancing the Screening Efficiency of Breast Cancer by Combining Conventional Medical Imaging Examinations With Circulating Tumor Cells
    Yang Gao, Wan-Hung Fan, Chaohui Duan, Wenhe Zhao, Jun Zhang, Xixiong Kang
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Comparison of the diagnostic performances of circulating tumor cells and the serum tumor markers CEA, CA125, and CA15-3 for breast cancer: a retrospective case-control study
    Yi Luan, Jie Wei, Ke Wang, Donghao Cai, Xiaohong Luo, Wanhung Fan, Haijiang Wang, Chaohui Duan
    Journal of Bio-X Research.2021; 4(2): 60.     CrossRef
  • Meme kanseri olan Türk kadın hastalarda meme dansitesinin klinik ve patolojik bulgularla ilişkileri
    Nihan TURHAN, Dilek YILMAZ, Levent YEŞİLYURT
    Pamukkale Medical Journal.2021;[Epub]     CrossRef
  • Evidence and assessment of parenchymal patterns of ultrasonography for breast cancer detection among Chinese women: a cross-sectional study
    Zhongtao Bao, Yanchun Zhao, Shuqiang Chen, Xiaoyu Chen, Xiang Xu, Linglin Wei, Ling Chen
    BMC Medical Imaging.2021;[Epub]     CrossRef
  • The Relationship Between Breast Density Change During Menopause and the Risk of Breast Cancer in Korean Women
    Danbee Kang, Ji-Yeon Kim, Ji-Young Kim, Han Song Mun, Sook Ja Yoon, Jieun Lee, Gayeon Han, Young-Hyuck Im, Soo-Young Shin, Se Kyung Lee, Jong-Han Yu, Kyung-Hyun Lee, Mincheol Kim, Dohyun Park, Yoon-Ho Choi, Ok Soon Jeong, Jean Hyoung Lee, Se Yong Jekal, J
    Cancer Prevention Research.2021; 14(12): 1119.     CrossRef
  • Feasibility of Portable Microwave Imaging Device for Breast Cancer Detection
    Mio Adachi, Tsuyoshi Nakagawa, Tomoyuki Fujioka, Mio Mori, Kazunori Kubota, Goshi Oda, Takamaro Kikkawa
    Diagnostics.2021; 12(1): 27.     CrossRef
  • Primary prevention of breast cancer
    V.F. Levshin
    Profilakticheskaya meditsina.2021; 24(11): 117.     CrossRef
  • Immigration history, lifestyle characteristics, and breast density in the Vietnamese American Women’s Health Study: a cross-sectional analysis
    Eunjung Lee, Namphuong Doanvo, MiHee Lee, Zayar Soe, Alice W. Lee, Cam Van Doan, Dennis Deapen, Giske Ursin, Darcy Spicer, Peggy Reynolds, Anna H. Wu
    Cancer Causes & Control.2020; 31(2): 127.     CrossRef
  • Long-Term Outcomes of Immediate Autologous Breast Reconstruction for Breast Cancer Patients
    Akimitsu Yamada, Kazutaka Narui, Toshihiko Satake, Shoko Adachi, Mikiko Tanabe, Daisuke Shimizu, Takashi Ishikawa, Itaru Endo
    Journal of Surgical Research.2020; 251: 78.     CrossRef
  • Density of breast: An independent risk factor for developing breast cancer, a prospective study at two premium breast centers
    Chia Hwee Lo, Xin Ying Chai, Shirley Shy Wen Ting, Sze Chao Ang, Xinlin Chin, Lay Teng Tan, Peeroo Saania, Tuan Nur' Azmah Tuan Mat, Seniyah Mat Sikin, Anil Gandhi
    Cancer Medicine.2020; 9(9): 3244.     CrossRef
  • A Review of Breast Density Implications and Breast Cancer Screening
    Jingge Lian, Kangan Li
    Clinical Breast Cancer.2020; 20(4): 283.     CrossRef
  • Breast Cancer Incidence Trends by Estrogen Receptor Status Among Asian American Ethnic Groups, 1990–2014
    Alyssa W Tuan, Brittny C Davis Lynn, Pavel Chernyavskiy, Mandi Yu, Scarlett L Gomez, Gretchen L Gierach, Philip S Rosenberg
    JNCI Cancer Spectrum.2020;[Epub]     CrossRef
  • Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis
    Wei-Hsin Yuan, Hui-Chen Hsu, Ying-Yuan Chen, Chia-Hung Wu
    British Journal of Cancer.2020; 123(4): 673.     CrossRef
  • Mammographic breast density, its changes, and breast cancer risk in premenopausal and postmenopausal women
    Eun Young Kim, Yoosoo Chang, Jiin Ahn, Ji‐Sup Yun, Yong Lai Park, Chan Heun Park, Hocheol Shin, Seungho Ryu
    Cancer.2020; 126(21): 4687.     CrossRef
  • Evaluation of automated volumetric breast density software in comparison with visual assessments in an Asian population
    Kartini Rahmat, Nazimah Ab Mumin, Marlina Tanty Ramli Hamid, Farhana Fadzli, Wei Lin Ng, Nadia Fareeda Muhammad Gowdh
    Medicine.2020; 99(39): e22405.     CrossRef
  • Prevalence of Women with Dense Breasts in Korea: Results from a Nationwide Cross-sectional Study
    Hye-Mi Jo, Eun Hye Lee, Kyungran Ko, Bong Joo Kang, Joo Hee Cha, Ann Yi, Hae Kyoung Jung, Jae Kwan Jun
    Cancer Research and Treatment.2019; 51(4): 1295.     CrossRef
  • Methodological Challenges and Updated Findings from a Meta-analysis of the Association between Mammographic Density and Breast Cancer
    Daniela Bond-Smith, Jennifer Stone
    Cancer Epidemiology, Biomarkers & Prevention.2019; 28(1): 22.     CrossRef
  • The role of breast tomosynthesis in a predominantly dense breast population at a tertiary breast centre: breast density assessment and diagnostic performance in comparison with MRI
    Daniel Förnvik, Masako Kataoka, Mami Iima, Akane Ohashi, Shotaro Kanao, Masakazu Toi, Kaori Togashi
    European Radiology.2018; 28(8): 3194.     CrossRef
  • Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?
    Sergio J. Sanabria, Orcun Goksel, Katharina Martini, Serafino Forte, Thomas Frauenfelder, Rahel A. Kubik-Huch, Marga B. Rominger
    European Radiology.2018; 28(8): 3165.     CrossRef
  • The role of matricellular proteins and tissue stiffness in breast cancer: a systematic review
    Sirio Fiorino, Salomone Di Saverio, Paolo Leandri, Andrea Tura, Chiara Birtolo, Mauro Silingardi, Dario de Biase, Eli Avisar
    Future Oncology.2018; 14(16): 1601.     CrossRef
  • Molecular mechanisms of the preventable causes of cancer in the United States
    Erica A. Golemis, Paul Scheet, Tim N. Beck, Eward M. Scolnick, David J. Hunter, Ernest Hawk, Nancy Hopkins
    Genes & Development.2018; 32(13-14): 868.     CrossRef
  • Inactivated Sendai virus particle upregulates cancer cell expression of intercellular adhesion molecule‐1 and enhances natural killer cell sensitivity on cancer cells
    Simin Li, Tomoyuki Nishikawa, Yasufumi Kaneda
    Cancer Science.2017; 108(12): 2333.     CrossRef
The Effect of Breastfeeding Duration and Parity on the Risk of Epithelial Ovarian Cancer: A Systematic Review and Meta-analysis
Ho Kyung Sung, Seung Hyun Ma, Ji-Yeob Choi, Yunji Hwang, Choonghyun Ahn, Byoung-Gie Kim, Yong-Man Kim, Jae Weon Kim, Sokbom Kang, Jaehoon Kim, Tae Jin Kim, Keun-Young Yoo, Daehee Kang, Suekyung Park
J Prev Med Public Health. 2016;49(6):349-366.   Published online September 8, 2016
DOI: https://doi.org/10.3961/jpmph.16.066
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AbstractAbstract PDFSupplementary Material
Objectives
We conducted a systematic review and meta-analysis to summarize current evidence regarding the association of parity and duration of breastfeeding with the risk of epithelial ovarian cancer (EOC).
Methods
A systematic search of relevant studies published by December 31, 2015 was performed in PubMed and EMBASE. A random-effect model was used to obtain the summary relative risks (RRs) and 95% confidence intervals (CIs).
Results
Thirty-two studies had parity categories of 1, 2, and ≥3. The summary RRs for EOC were 0.72 (95% CI, 0.65 to 0.79), 0.57 (95% CI, 0.49 to 0.65), and 0.46 (95% CI, 0.41 to 0.52), respectively. Small to moderate heterogeneity was observed for one birth (p<0.01; Q=59.46; I2=47.9%). Fifteen studies had breastfeeding categories of <6 months, 6-12 months, and >13 months. The summary RRs were 0.79 (95% CI, 0.72 to 0.87), 0.72 (95% CI, 0.64 to 0.81), and 0.67 (95% CI, 0.56 to 0.79), respectively. Only small heterogeneity was observed for <6 months of breastfeeding (p=0.17; Q=18.79, I2=25.5%). Compared to nulliparous women with no history of breastfeeding, the joint effects of two births and <6 months of breastfeeding resulted in a 0.5-fold reduced risk for EOC.
Conclusions
The first birth and breastfeeding for <6 months were associated with significant reductions in EOC risk.
Summary

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Citations to this article as recorded by  
  • Pelvic inflammatory disease and risk of epithelial ovarian cancer: a national population-based case-control study in Sweden
    Sarah Jonsson, Håkan Jonsson, Eva Lundin, Christel Häggström, Annika Idahl
    American Journal of Obstetrics and Gynecology.2024; 230(1): 75.e1.     CrossRef
  • Agricultural exposure and risk of ovarian cancer in the AGRIculture and CANcer (AGRICAN) cohort
    Marine Renier, Juliette Hippert, Louis-Bastien Weiswald, Séverine Tual, Matthieu Meryet-Figuiere, Nicolas Vigneron, Elisabeth Marcotullio, Isabelle Baldi, Pierre Lebailly
    Occupational and Environmental Medicine.2024; 81(2): 75.     CrossRef
  • Prenatal Counseling on the Maternal Health Benefits of Lactation: A Randomized Trial
    Eleanor B. Schwarz, Adrienne Hoyt-Austin, Margaret Fix, Laura R. Kair, Caidon Iwuagwu, Melissa J. Chen
    Breastfeeding Medicine.2024; 19(1): 52.     CrossRef
  • Awareness of the Maternal Health Benefits of Lactation Among U.S. Pregnant Individuals
    Caidon Iwuagwu, Melissa J. Chen, Adrienne E. Hoyt-Austin, Laura Kair, Margaret Fix, Eleanor Bimla Schwarz
    Women's Health Issues.2024;[Epub]     CrossRef
  • Ovulation induction drug and ovarian cancer: an updated systematic review and meta-analysis
    Liang Yu, Jiafan Sun, Qiqin Wang, Wennian Yu, Anqi Wang, Shu Zhu, Wei Xu, Xiuli Wang
    Journal of Ovarian Research.2023;[Epub]     CrossRef
  • La Salpingo-oforectomía o Salpingectomía como estrategia para prevenir el cáncer de ovario
    Scarlet Hochstatter Irarrázabal, Erwin Hochstatter Arduz
    Revista Medica.2023; 27(1): 26.     CrossRef
  • Stratifying the risk of ovarian cancer incidence by histologic subtypes in the Korean Epithelial Ovarian Cancer Study (Ko‐EVE)
    Soseul Sung, Youjin Hong, Byoung‐Gie Kim, Ji‐Yeob Choi, Jae Weon Kim, Sang‐Yoon Park, Jae‐Hoon Kim, Yong‐man Kim, Jong‐Min Lee, Tae Jin Kim, Sue K. Park
    Cancer Medicine.2023; 12(7): 8742.     CrossRef
  • Abortion and Female Cancer Risks among Women Aged 20 to 45 Years: A 10-Year Longitudinal Population-Based Cohort Study in Taiwan
    Cheng-Ting Shen, Shu-Yu Tai, Yu-Hsiang Tsao, Fang-Ming Chen, Hui-Min Hsieh
    International Journal of Environmental Research and Public Health.2023; 20(4): 3682.     CrossRef
  • Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis
    Zhuxuan Fu, Maria Mori Brooks, Sarah Irvin, Susan Jordan, Katja K H Aben, Hoda Anton-Culver, Elisa V Bandera, Matthias W Beckmann, Andrew Berchuck, Angela Brooks-Wilson, Jenny Chang-Claude, Linda S Cook, Daniel W Cramer, Kara L Cushing-Haugen, Jennifer A
    JNCI: Journal of the National Cancer Institute.2023; 115(5): 539.     CrossRef
  • Role of breastfeeding on maternal and childhood cancers: An umbrella review of meta-analyses
    Dazhi Fan, Qing Xia, Dongxin Lin, Yubo Ma, Jiaming Rao, Li Liu, Hai Tang, Tingting Xu, Pengsheng Li, Gengdong Chen, Zixing Zhou, Xiaoling Guo, Zhifang Zhang, Zhengping Liu
    Journal of Global Health.2023;[Epub]     CrossRef
  • What does a doctor need to know about breastfeeding and adolescent health and pregnancy?
    Leandro Meirelles Nunes, Rossiclei de Souza Pinheiro, Izailza Matos Dantas Lopes, Darci Vieira da Silva Bonetto, Alda Elizabeth Boehler Iglesias Azevedo
    Revista da Associação Médica Brasileira.2023;[Epub]     CrossRef
  • Deficiencies in the Intentions, Attitudes, and Knowledge of Future Healthcare Professionals Regarding Breastfeeding
    Marija Čatipović, Štefica Mikšić, Rajko Fureš, Zrinka Puharić, Dragica Pavlović
    Children.2023; 10(7): 1256.     CrossRef
  • Examining psychometric properties of the Iranian version of exclusive breastfeeding social support scale (EBFSS)
    Sepideh Mashayekh-Amiri, Mina Hosseinzadeh, Mohammad Asghari Jafarabadi, Sepideh Soltani, Mojgan Mirghafourvand
    BMC Psychology.2023;[Epub]     CrossRef
  • Are pregnancy and parity associated with telomere length? A systematic review
    Nourit Houminer-Klepar, Shiran Bord, Elissa Epel, Orna Baron-Epel
    BMC Pregnancy and Childbirth.2023;[Epub]     CrossRef
  • Global patterns and temporal trends in ovarian cancer morbidity, mortality, and burden from 1990 to 2019
    Afrooz Mazidimoradi, Zohre Momenimovahed, Yousef Khani, Armin Rezaei Shahrabi, Leila Allahqoli, Hamid Salehiniya
    Oncologie.2023; 25(6): 641.     CrossRef
  • Pregnancy, preeclampsia and maternal aging: From epidemiology to functional genomics
    Eliza C. Miller, Ashley Wilczek, Natalie A. Bello, Sarah Tom, Ronald Wapner, Yousin Suh
    Ageing Research Reviews.2022; 73: 101535.     CrossRef
  • Lifetime ovulations and epithelial ovarian cancer risk and survival: A systematic review and meta-analysis
    Zhuxuan Fu, Sarah Taylor, Francesmary Modugno
    Gynecologic Oncology.2022; 165(3): 650.     CrossRef
  • The Effects of Breastfeeding on Maternal Mental Health: A Systematic Review
    Megan Yuen, Olivia J. Hall, Grace A. Masters, Benjamin C. Nephew, Catherine Carr, Katherine Leung, Adrienne Griffen, Lynne McIntyre, Nancy Byatt, Tiffany A. Moore Simas
    Journal of Women's Health.2022; 31(6): 787.     CrossRef
  • Breastfeeding Among Pediatric Emergency Physicians
    Marissa Hendrickson, Cynthia S. Davey, Brian A. Harvey, Kari Schneider
    Pediatric Emergency Care.2022; 38(7): e1372.     CrossRef
  • A Follow-Up Study of Ovarian Cancer (OOPS): A Study Protocol
    Ting-Ting Gong, Fang-Hua Liu, Ya-Shu Liu, Shi Yan, He-Li Xu, Xin-Hui He, Yi-Fan Wei, Xue Qin, Song Gao, Yu-Hong Zhao, Qi-Jun Wu
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Extraterrestrial Gynecology: Could Spaceflight Increase the Risk of Developing Cancer in Female Astronauts? An Updated Review
    Rosa Drago-Ferrante, Riccardo Di Fiore, Fathi Karouia, Yashwanth Subbannayya, Saswati Das, Begum Aydogan Mathyk, Shehbeel Arif, Ana Paula Guevara-Cerdán, Allen Seylani, Aman Singh Galsinh, Weronika Kukulska, Joseph Borg, Sherif Suleiman, David Marshall Po
    International Journal of Molecular Sciences.2022; 23(13): 7465.     CrossRef
  • Behaviour, Attitudes and Knowledge of Healthcare Workers on Breastfeeding
    Marija Čatipović, Zrinka Puharić, Drita Puharić, Paula Čatipović, Josip Grgurić
    Children.2022; 9(8): 1173.     CrossRef
  • Lactancia materna
    E. Raimond, N. Leloux, R. Gabriel
    EMC - Ginecología-Obstetricia.2022; 58(4): 1.     CrossRef
  • Human Milk Microbiota and Oligosaccharides: A Glimpse into Benefits, Diversity, and Correlations
    Carole Ayoub Moubareck
    Nutrients.2021; 13(4): 1123.     CrossRef
  • Couples talk about breastfeeding: Interviews with parents about decision-making, challenges, and the role of fathers and professional support
    Erin J Henshaw, Maria Mayer, Sarina Balraj, Elsie Parmar, Kristine Durkin, Rita Snell
    Health Psychology Open.2021; 8(2): 205510292110291.     CrossRef
  • Influence of lactation and nutrition on health of nursing woman
    S. V. Orlova, E. A. Nikitina, A. N. Vodolazkaya, L. Yu. Volkova, E. V. Prokopenko
    Medical alphabet.2021; (21): 75.     CrossRef
  • Supporting Exclusive Breastfeeding Among Factory Workers and Their Unemployed Neighbors: Peer Counseling in Bangladesh
    Rukhsana Haider, Virginia Thorley
    Journal of Human Lactation.2020; 36(3): 414.     CrossRef
  • The Ketogenic Diet Including Breast Milk for Treatment of Infants with Severe Childhood Epilepsy: Feasibility, Safety, and Effectiveness
    Anastasia Dressler, Chiara Häfele, Vito Giordano, Franz Benninger, Petra Trimmel-Schwahofer, Gudrun Gröppel, Sharon Samueli, Martha Feucht, Christoph Male, Andreas Repa
    Breastfeeding Medicine.2020; 15(2): 72.     CrossRef
  • Gender of offspring and risk of ovarian cancer: The HOPE study
    Zhuxuan Fu, Kirsten Moysich, Roberta B. Ness, Francesmary Modugno
    Cancer Epidemiology.2020; 64: 101646.     CrossRef
  • Ovarian cancer screening: Current status and future directions
    Zachary Nash, Usha Menon
    Best Practice & Research Clinical Obstetrics & Gynaecology.2020; 65: 32.     CrossRef
  • “I was determined to breastfeed, and I always found a solution”: successful experiences of exclusive breastfeeding among Chinese mothers in Ireland
    Qianling Zhou, Haoyue Chen, Katherine M. Younger, Tanya M. Cassidy, John M. Kearney
    International Breastfeeding Journal.2020;[Epub]     CrossRef
  • An Update on Screening and Prevention for Breast and Gynecological Cancers in Average and High Risk Individuals
    Anahid M Pahlawanian, Vanessa A Norris, Amelia M Jernigan, Brooke Morrell, Mignonne Morrell, Navya Nair, Amber M Karamanis, Erin M Dauchy, Michelle M Loch, Agustin A Garcia
    The American Journal of the Medical Sciences.2020; 360(5): 489.     CrossRef
  • Association of Social and Community Factors with U.S. Breastfeeding Outcomes
    Leslie Kummer, Naomi Duke, Laurel Davis, Iris Borowsky
    Breastfeeding Medicine.2020; 15(10): 646.     CrossRef
  • Breastfeeding Among Mothers Who Have Experienced Childhood Maltreatment: A Review
    Amara Channell Doig, Michelle Jasczynski, Jamie L. Fleishman, Elizabeth M. Aparicio
    Journal of Human Lactation.2020; 36(4): 710.     CrossRef
  • Offspring sex and risk of epithelial ovarian cancer: a multinational pooled analysis of 12 case–control studies
    Francesmary Modugno, Zhuxuan Fu, Susan J. Jordan, AOCS Group, Jenny Chang-Claude, Renée T. Fortner, Marc T. Goodman, Kirsten B. Moysich, Joellen M. Schildkraut, Andrew Berchuck, Elisa V. Bandera, Bo Qin, Rebecca Sutphen, John R. McLaughlin, Usha Menon, Su
    European Journal of Epidemiology.2020; 35(11): 1025.     CrossRef
  • Translational Theragnosis of Ovarian Cancer: where do we stand?
    Maria Grazia Perrone, Oreste Luisi, Anna De Grassi, Savina Ferorelli, Gennaro Cormio, Antonio Scilimati
    Current Medicinal Chemistry.2020; 27(34): 5675.     CrossRef
  • Breastfeeding factors and risk of epithelial ovarian cancer
    Francesmary Modugno, Sharon L. Goughnour, Danielle Wallack, Robert P. Edwards, Kunle Odunsi, Joseph L. Kelley, Kirsten Moysich, Roberta B. Ness, Maria Mori Brooks
    Gynecologic Oncology.2019; 153(1): 116.     CrossRef
  • Flexible piecewise linear model for investigating dose‐response relationship in meta‐analysis: Methodology, examples, and comparison
    Chang Xu, Lehana Thabane, Tongzu Liu, ASM Borhan, Xin Sun
    Journal of Evidence-Based Medicine.2019; 12(1): 63.     CrossRef
  • Critical questions in ovarian cancer research and treatment: Report of an American Association for Cancer Research Special Conference
    Robert C. Bast, Ursula A. Matulonis, Anil K. Sood, Ahmed A. Ahmed, Adaobi E. Amobi, Frances R. Balkwill, Monicka Wielgos‐Bonvallet, David D. L. Bowtell, James D. Brenton, Joan S. Brugge, Robert L. Coleman, Giulio F. Draetta, Kai Doberstein, Ronny I. Drapk
    Cancer.2019; 125(12): 1963.     CrossRef
  • Novel Approaches to Ovarian Cancer Screening
    Denise R. Nebgen, Karen H. Lu, Robert C. Bast
    Current Oncology Reports.2019;[Epub]     CrossRef
  • Age at last birth and risk of developing epithelial ovarian cancer: a meta-analysis
    Yanjun Wu, Wenjun Sun, Xueling Xin, Weijing Wang, Dongfeng Zhang
    Bioscience Reports.2019;[Epub]     CrossRef
  • The impact of historical breastfeeding practices on the incidence of cancer in France in 2015
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    Cancer Causes & Control.2018; 29(3): 325.     CrossRef
  • The role of pregnancy, perinatal factors and hormones in maternal cancer risk: a review of the evidence
    R. Troisi, T. Bjørge, M. Gissler, T. Grotmol, C. M. Kitahara, S. M. Myrtveit Sæther, A. G. Ording, C. Sköld, H. T. Sørensen, B. Trabert, I. Glimelius
    Journal of Internal Medicine.2018; 283(5): 430.     CrossRef
  • Ovarian Cancer Prevention and Screening
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    Obstetrics & Gynecology.2018; 131(5): 909.     CrossRef
  • Breastfeeding experience, challenges and service demands among Chinese mothers: A qualitative study in two cities
    Yan Zhang, Yi Jin, Carel Vereijken, Bernd Stahl, Hong Jiang
    Appetite.2018; 128: 263.     CrossRef
  • Postpartum Cardiomyopathy and Considerations for Breastfeeding
    Laura Kearney, Paul Wright, Sadeer Fhadil, Martin Thomas
    Cardiac Failure Review.2018; 4(2): 112.     CrossRef
  • Breastfeeding and the Benefits of Lactation for Women's Health
    Luiz Antonio Del Ciampo, Ieda Regina Lopes Del Ciampo
    Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics.2018; 40(06): 354.     CrossRef
  • Ovarian Cancer Prevention in High-risk Women
    SARAH M. TEMKIN, JENNIFER BERGSTROM, GOLI SAMIMI, LORI MINASIAN
    Clinical Obstetrics & Gynecology.2017; 60(4): 738.     CrossRef
  • Risk Reduction of Breast Cancer by Childbirth, Breastfeeding, and Their Interaction in Korean Women: Heterogeneous Effects Across Menopausal Status, Hormone Receptor Status, and Pathological Subtypes
    Seok Hun Jeong, Yoon Suk An, Ji-Yeob Choi, Boyoung Park, Daehee Kang, Min Hyuk Lee, Wonshik Han, Dong Young Noh, Keun-Young Yoo, Sue K. Park
    Journal of Preventive Medicine and Public Health.2017; 50(6): 401.     CrossRef
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Hyungryul Lim, Ho-Jang Kwon, Ji-Ae Lim, Jong Hyuk Choi, Mina Ha, Seung-Sik Hwang, Won-Jun Choi
J Prev Med Public Health. 2016;49(4):205-219.   Published online July 14, 2016
DOI: https://doi.org/10.3961/jpmph.16.037
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AbstractAbstract PDF
Objectives
No children-specified review and meta-analysis paper about the short-term effect of fine particulate matter (PM2.5) on hospital admissions and emergency department visits for asthma has been published. We calculated more precise pooled effect estimates on this topic and evaluated the variation in effect size according to the differences in study characteristics not considered in previous studies.
Methods
Two authors each independently searched PubMed and EMBASE for relevant studies in March, 2016. We conducted random effect meta-analyses and mixed-effect meta-regression analyses using retrieved summary effect estimates and 95% confidence intervals (CIs) and some characteristics of selected studies. The Egger’s test and funnel plot were used to check publication bias. All analyses were done using R version 3.1.3.
Results
We ultimately retrieved 26 time-series and case-crossover design studies about the short-term effect of PM2.5 on children’s hospital admissions and emergency department visits for asthma. In the primary meta-analysis, children’s hospital admissions and emergency department visits for asthma were positively associated with a short-term 10 μg/m3 increase in PM2.5 (relative risk, 1.048; 95% CI, 1.028 to 1.067; I2=95.7%). We also found different effect coefficients by region; the value in Asia was estimated to be lower than in North America or Europe.
Conclusions
We strengthened the evidence on the short-term effect of PM2.5 on children’s hospital admissions and emergency department visits for asthma. Further studies from other regions outside North America and Europe regions are needed for more generalizable evidence.
Summary

Citations

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  • Do respiratory virus infections modify associations of asthma exacerbation with aeroallergens or fine particulate matter? A time series study in Philadelphia PA
    Wanyu Huang, Leah H. Schinasi, Chén C. Kenyon, Amy H. Auchincloss, Kari Moore, Steven Melly, Lucy F. Robinson, Christopher B. Forrest, Anneclaire J. De Roos
    International Journal of Environmental Health Research.2024; : 1.     CrossRef
  • Residential surrounding greenness and the incidence of childhood asthma: Findings from a population-based cohort in Ontario, Canada
    Razieh Mansouri, Eric Lavigne, Robert Talarico, Audrey Smargiassi, Laura A. Rodriguez-Villamizar, Paul J. Villeneuve
    Environmental Research.2024; 249: 118316.     CrossRef
  • Short-term exposure to fine particulate matter exposure impairs innate immune and inflammatory responses to a pathogen stimulus: A functional study in the zebrafish model
    Marco Cafora, Sabrina Rovelli, Andrea Cattaneo, Anna Pistocchi, Luca Ferrari
    Environmental Pollution.2024; 348: 123841.     CrossRef
  • Association of Short-term Increases in Ambient Fine Particulate Matter With Hospitalization for Asthma or COPD During Wildfire Season and Other Time Periods
    Benjamin D. Horne, Mary M. Johnson, Denitza P. Blagev, Francois Haddad, Kirk U. Knowlton, Daniel Bride, Tami L. Bair, Elizabeth A. Joy, Kari C. Nadeau
    CHEST Pulmonary.2024; : 100053.     CrossRef
  • Acute Effects of Ambient Air Pollution on Asthma Emergency Department Visits in Ten U.S. States
    Jianzhao Bi, Rohan R. D’Souza, Shannon Moss, Niru Senthilkumar, Armistead G. Russell, Noah C. Scovronick, Howard H. Chang, Stefanie Ebelt
    Environmental Health Perspectives.2023;[Epub]     CrossRef
  • The Impact of Climate Change on Asthma and Allergic-Immunologic Disease
    Grace Kelly, Osatohamwen I. Idubor, Sophie Binney, Paul J. Schramm, Maria C. Mirabelli, Joy Hsu
    Current Allergy and Asthma Reports.2023; 23(8): 453.     CrossRef
  • eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review
    Mattiènne R van der Kamp, Vera S Hengeveld, Marjolein G J Brusse-Keizer, Boony J Thio, Monique Tabak
    Journal of Medical Internet Research.2023; 25: e45896.     CrossRef
  • Environmental Influences and Allergic Diseases in the Asia-Pacific Region: What Will Happen in Next 30 Years?
    Yuhan Xing, Gary Wing-Kin Wong
    Allergy, Asthma & Immunology Research.2022; 14(1): 21.     CrossRef
  • Forecasting the Effects of Real-Time Indoor PM2.5 on Peak Expiratory Flow Rates (PEFR) of Asthmatic Children in Korea: A Deep Learning Approach
    Jiyoung Woo, Ji-Hyun Lee, Yeonjin Kim, Guillaume Rudasingwa, Dae Hyun Lim, Sungroul Kim
    IEEE Access.2022; 10: 19391.     CrossRef
  • The Impact of Ambient Environmental and Occupational Pollution on Respiratory Diseases
    Chinatsu Nishida, Kazuhiro Yatera
    International Journal of Environmental Research and Public Health.2022; 19(5): 2788.     CrossRef
  • Indoor air pollution effects on pediatric asthma are submicron aerosol particle–dependent
    Izabele Juskiene, Nina Prokopciuk, Ulrich Franck, Algirdas Valiulis, Vaidotas Valskys, Vitalija Mesceriakova, Violeta Kvedariene, Indre Valiulyte, Edita Poluzioroviene, Ingrida Sauliene, Arunas Valiulis
    European Journal of Pediatrics.2022; 181(6): 2469.     CrossRef
  • PM2.5 Exposure and Asthma Development: The Key Role of Oxidative Stress
    Kaimeng Liu, Shucheng Hua, Lei Song, Alin Ciobica
    Oxidative Medicine and Cellular Longevity.2022; 2022: 1.     CrossRef
  • Outdoor air quality and human health: An overview of reviews of observational studies
    Georgios Markozannes, Katerina Pantavou, Evangelos C. Rizos, Ourania Α. Sindosi, Christos Tagkas, Maike Seyfried, Ian J. Saldanha, Nikos Hatzianastassiou, Georgios K. Nikolopoulos, Evangelia Ntzani
    Environmental Pollution.2022; 306: 119309.     CrossRef
  • New Homogeneous Spatial Areas Identified Using Case-Crossover Spatial Lag Grid Differences between Aerosol Optical Depth-PM2.5 and Respiratory-Cardiovascular Emergency Department Visits and Hospitalizations
    John T. Braggio, Eric S. Hall, Stephanie A. Weber, Amy K. Huff
    Atmosphere.2022; 13(5): 719.     CrossRef
  • Increasing Prevalence of Allergic Disease and Its Impact on Current Practice
    Sofia E. Edwards-Salmon, Shree Lakshmi Padmanabhan, Merin Kuruvilla, Joshua M. Levy
    Current Otorhinolaryngology Reports.2022; 10(3): 278.     CrossRef
  • The Correlation of PM2.5 Exposure with Acute Attack and Steroid Sensitivity in Asthma
    Jingjing Luo, Han Liu, Shucheng Hua, Lei Song, Jianfeng Wang
    BioMed Research International.2022; 2022: 1.     CrossRef
  • Application of high-resolution metabolomics to identify biological pathways perturbed by traffic-related air pollution
    Zhenjiang Li, Donghai Liang, Dongni Ye, Howard H. Chang, Thomas R. Ziegler, Dean P. Jones, Stefanie T. Ebelt
    Environmental Research.2021; 193: 110506.     CrossRef
  • Review of epidemiological studies on air pollution and health effects in children
    Jong-Tae Lee
    Clinical and Experimental Pediatrics.2021; 64(1): 3.     CrossRef
  • The Effect of Coal-Fired Power Plant Closures on Emergency Department Visits for Asthma-Related Conditions Among 0- to 4-Year-Old Children in Chicago, 2009–2017
    Sarah Komisarow, Emily L. Pakhtigian
    American Journal of Public Health.2021; 111(5): 881.     CrossRef
  • The clear and persistent impact of air pollution on chronic respiratory diseases: a call for interventions
    Isabella Annesi-Maesano, Francesco Forastiere, John Balmes, Erika Garcia, Jack Harkema, Stephen Holgate, Frank Kelly, Haneen Khreis, Barbara Hoffmann, Cara Nichole Maesano, Rob McConnell, David Peden, Kent Pinkerton, Tamara Schikowski, George Thurston, La
    European Respiratory Journal.2021; 57(3): 2002981.     CrossRef
  • The Multiple Benefits of Removing Major Outdoor Air Pollution Point Sources
    Derek G. Shendell
    American Journal of Public Health.2021; 111(5): 770.     CrossRef
  • Assessing the Distribution of Air Pollution Health Risks within Cities: A Neighborhood-Scale Analysis Leveraging High-Resolution Data Sets in the Bay Area, California
    Veronica A. Southerland, Susan C. Anenberg, Maria Harris, Joshua Apte, Perry Hystad, Aaron van Donkelaar, Randall V. Martin, Matt Beyers, Ananya Roy
    Environmental Health Perspectives.2021;[Epub]     CrossRef
  • The role of the environment in shaping the trends of childhood asthma – An Asian perspective
    Agnes S. Y. Leung, Elizabeth Huiwen Tham, Jing Li, Punchama Pacharn, Takumi Takizawa, Eun Lee, Yuhan Xing, Ting‐Fan Leung, Soo‐Jong Hong, Gary W. K. Wong, Ömer Kalaycı
    Pediatric Allergy and Immunology.2021; 32(6): 1152.     CrossRef
  • Impact of a pollution breach at a coke oven factory on asthma control in nearby vulnerable adults
    Brandy M. Byrwa-Hill, Albert A. Presto, Sally Wenzel, James P. Fabisiak
    Journal of Allergy and Clinical Immunology.2021; 148(1): 225.     CrossRef
  • Intervention of Particulate Matter: What Can We Do for Asthmatic Patients?
    Kangmo Ahn
    Allergy, Asthma & Immunology Research.2021; 13(5): 677.     CrossRef
  • Quantifying the Health Benefits of Face Masks and Respirators to Mitigate Exposure to Severe Air Pollution
    John K. Kodros, Katelyn O’Dell, Jonathan M. Samet, Christian L’Orange, Jeffrey R. Pierce, John Volckens
    GeoHealth.2021;[Epub]     CrossRef
  • Combinations of Epidemiological and Experimental Studies in Air Pollution Research: A Narrative Review
    Hannah Weisenberg, Tianyu Zhao, Joachim Heinrich
    International Journal of Environmental Research and Public Health.2020; 17(2): 385.     CrossRef
  • A risk-based model to assess environmental justice and coronary heart disease burden from traffic-related air pollutants
    James P. Fabisiak, Erica M. Jackson, LuAnn L. Brink, Albert A. Presto
    Environmental Health.2020;[Epub]     CrossRef
  • Impact of Air Pollution on Asthma Outcomes
    Angelica I. Tiotiu, Plamena Novakova, Denislava Nedeva, Herberto Jose Chong-Neto, Silviya Novakova, Paschalis Steiropoulos, Krzysztof Kowal
    International Journal of Environmental Research and Public Health.2020; 17(17): 6212.     CrossRef
  • Impact of Air Pollution and Trans-Boundary Haze on Nation-Wide Emergency Department Visits and Hospital Admissions in Singapore
    Sze Ling Chan, Andrew FW Ho, Huicong Ding, Nan Liu, Arul Earnest, Mariko S Koh, Jolyn ST Chuah, Zheng Yi Lau, Kelvin Bryan Tan, Huili Zheng, Geoffrey G Morgan, Marcus EH Ong
    Annals of the Academy of Medicine, Singapore.2020; 49(2): 78.     CrossRef
  • High Temperatures and Kidney Disease Morbidity: A Systematic Review and Meta-analysis
    Woo-Seok Lee, Woo-Sung Kim, Youn-Hee Lim, Yun-Chul Hong
    Journal of Preventive Medicine and Public Health.2019; 52(1): 1.     CrossRef
  • Identifying and characterizing the effects of calendar and environmental conditions on pediatric admissions in Shanghai
    Guang-jun Yu, Jian-lei Gu, Wen-bin Cui, Jian-ping Jiang, Yang Wang, Georgi Z. Genchev, Ting Lu, Hui Lu
    Journal of Big Data.2019;[Epub]     CrossRef
  • Air Pollution, Asthma, and Sleep Apnea: New Epidemiological Links?
    Gökhan M. Mutlu, Yüksel Peker
    Annals of the American Thoracic Society.2019; 16(3): 307.     CrossRef
  • Using Syndromic Surveillance to Evaluate the Respiratory Effects of Fine Particulate Matter
    Christina H. Fuller, Douglas Roblin, Jordan Jones
    Annals of the American Thoracic Society.2019; 16(7): 930.     CrossRef
  • Ambient air pollution is associated with pediatric pneumonia: a time-stratified case–crossover study in an urban area
    Chi-Yung Cheng, Shih-Yu Cheng, Chien-Chih Chen, Hsiu-Yung Pan, Kuan-Han Wu, Fu-Jen Cheng
    Environmental Health.2019;[Epub]     CrossRef
  • The Effects of Short-Term and Very Short-Term Particulate Matter Exposure on Asthma-Related Hospital Visits: National Health Insurance Data
    Dae Jin Song, Sun Hee Choi, Woo-Jung Song, Kyung Hee Park, Young-Koo Jee, Sang-Heon Cho, Dae Hyun Lim
    Yonsei Medical Journal.2019; 60(10): 952.     CrossRef
  • Association between fire smoke fine particulate matter and asthma-related outcomes: Systematic review and meta-analysis
    Nicolas Borchers Arriagada, Joshua A. Horsley, Andrew J. Palmer, Geoffrey G. Morgan, Rachel Tham, Fay H. Johnston
    Environmental Research.2019; 179: 108777.     CrossRef
  • Review of the effect of air pollution exposure from industrial point sources on asthma-related effects in childhood
    Stéphane Buteau, Xiaohui Geng, Remi Labelle, Audrey Smargiassi
    Environmental Epidemiology.2019; 3(6): e077.     CrossRef
  • Viruses and non-allergen environmental triggers in asthma
    Florence Chau-Etchepare, Joshua L Hoerger, Brooks T Kuhn, Amir A Zeki, Angela Haczku, Samuel Louie, Nicholas J Kenyon, Cristina E Davis, Michael Schivo
    Journal of Investigative Medicine.2019; 67(7): 1029.     CrossRef
  • A Review of Airborne Particulate Matter Effects on Young Children’s Respiratory Symptoms and Diseases
    Hai-Ying Liu, Daniel Dunea, Stefania Iordache, Alin Pohoata
    Atmosphere.2018; 9(4): 150.     CrossRef
  • The association of ambient PM2.5 with school absence and symptoms in schoolchildren: a panel study
    Yi Zhang, Liangliang Cui, Dandan Xu, Mike Z. He, Jingwen Zhou, Lianyu Han, Xinwei Li, Tiantian Li
    Pediatric Research.2018; 84(1): 28.     CrossRef
  • Changes in Accident & Emergency Visits and Return Visits in Relation to the Enforcement of Daylight Saving Time and Photoperiod
    Elena Ferrazzi, Chiara Romualdi, Michele Ocello, Giovanni Frighetto, Matteo Turco, Stefania Vigolo, Fabrizio Fabris, Paolo Angeli, Gianna Vettore, Rodolfo Costa, Sara Montagnese
    Journal of Biological Rhythms.2018; 33(5): 555.     CrossRef
  • Exposure to traffic-related air pollution and acute bronchitis in children: season and age as modifiers
    Lijun Bai, Xi Su, Desheng Zhao, Yanwu Zhang, Qiang Cheng, Heng Zhang, Shusi Wang, Mingyu Xie, Hong Su
    Journal of Epidemiology and Community Health.2018; 72(5): 426.     CrossRef
  • Estimates of the Global Burden of Ambient PM2.5, Ozone, and NO2 on Asthma Incidence and Emergency Room Visits
    Susan C. Anenberg, Daven K. Henze, Veronica Tinney, Patrick L. Kinney, William Raich, Neal Fann, Chris S. Malley, Henry Roman, Lok Lamsal, Bryan Duncan, Randall V. Martin, Aaron van Donkelaar, Michael Brauer, Ruth Doherty, Jan Eiof Jonson, Yanko Davila, K
    Environmental Health Perspectives.2018;[Epub]     CrossRef
  • Trends in the Prevalence of Childhood Asthma in Seoul Metropolitan City, Korea: The Seoul Atopy ∙ Asthma-friendly School Project
    Yong Min Cho, Chea-Bong Kim, Kyung Nam Yeon, Eun Sun Lee, KyooSang Kim
    Journal of Preventive Medicine and Public Health.2018; 51(6): 275.     CrossRef
  • Emergency room visits for respiratory diseases associated with ambient fine particulate matter in Taiwan in 2012: A population-based study
    Su-Lun Hwang, Yu-Ching Lin, Su-Er Guo, Miao-Ching Chi, Chiang-Ting Chou, Chieh-Mo Lin
    Atmospheric Pollution Research.2017; 8(3): 465.     CrossRef
  • Effects of fine particulate matter and its constituents on emergency room visits for asthma in southern Taiwan during 2008–2010: a population-based study
    Su-Lun Hwang, Yu-Ching Lin, Chieh-Mo Lin, Kuang-Yu Hsiao
    Environmental Science and Pollution Research.2017; 24(17): 15012.     CrossRef
  • Relationship between emergency care utilization, ambient temperature, and the pollution standard index in Taiwan
    Ching-hui Tseng, Li-Chin Lu, Shao-Hwan Lan, Yen-Ping Hsieh, Shou-Jen Lan
    International Journal of Environmental Health Research.2017; 27(5): 344.     CrossRef
  • Impact of respiratory infections, outdoor pollen, and socioeconomic status on associations between air pollutants and pediatric asthma hospital admissions
    Julie E. Goodman, Christine T. Loftus, Xiaobin Liu, Ke Zu, Alexander Larcombe
    PLOS ONE.2017; 12(7): e0180522.     CrossRef
Helicobacter pylori Infection and Risk of Gastric Cancer in Korea: A Quantitative Systematic Review
Jong-Myon Bae, Eun Hee Kim
J Prev Med Public Health. 2016;49(4):197-204.   Published online July 7, 2016
DOI: https://doi.org/10.3961/jpmph.16.024
  • 11,052 View
  • 225 Download
  • 19 Crossref
AbstractAbstract PDF
Objectives
In the context of the global decrease in mortality due to gastric cancer, previous studies have reported that the effect of chronic Helicobacter pylori (H. pylori) infection on the incidence of gastric cancer varies among regions. This systematic review was conducted to investigate H. pylori as a risk factor for gastric cancer in Korea, where the incidence of gastric cancer is among the highest in the world.
Methods
A search strategy was established to identify articles published in Korean as well as in English. Ultimately, we included observational studies conducted among Korean patients that designed with an age-matched and sex-matched control group that reported the odds ratio associated with H. pylori. Gastric cancer cases were subdivided into overall (OGC), cardia (CGC), non-cardia (NGC), early (EGC), advanced, intestinal (IGC), and diffuse forms of gastric cancer. Summary odds ratios (SORs) with 95% confidence intervals (CIs) were calculated in the meta-analysis using a random-effect model.
Results
Eleven case-control studies were ultimately selected. H. pylori was associated with an SOR of 1.81 (95% CI, 1.29 to 2.54) for OGC. Additionally, statistically significant risks were observed for CGC, NGC, EGC, and IGC.
Conclusions
Chronic H. pylori infection was found to raise the risk of gastric cancer among Koreans, with the highest risk observed for CGC and EGC (SOR=2.88 for both). Follow-up clinical epidemiologic studies are needed to assess the effects of current treatments aimed at eradicating H. pylori infections.
Summary

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  • The Utility of Gastrointestinal Endoscopic Examination Versus Positron Emission Tomography–Computed Tomography in the Detection of Second Primary Lesions in Korean Patients With Head and Neck Cancer
    Min-Su Kim, In Sik Song, Kyoung Ho Oh, Jae-Gu Cho, Seung-Kuk Baek, Jeong-Soo Woo, Kwang-Yoon Jung, Soon Young Kwon
    Ear, Nose & Throat Journal.2022; 101(2): NP50.     CrossRef
  • Effect of Helicobacter pylori Eradication on Gastric Cancer Prevention: Updated Report From a Randomized Controlled Trial With 26.5 Years of Follow-up
    Lingjun Yan, Ying Chen, Fa Chen, Tao Tao, Zhijian Hu, Junzhuo Wang, Jianwang You, Benjamin C.Y. Wong, Jianshun Chen, Weimin Ye
    Gastroenterology.2022; 163(1): 154.     CrossRef
  • Association Between ALDH2 Polymorphism and Gastric Cancer Risk in Terms of Alcohol Consumption: A Meta‐Analysis
    Seung Joo Kang, Cheol Min Shin, Joohon Sung, Nayoung Kim
    Alcoholism: Clinical and Experimental Research.2021; 45(1): 6.     CrossRef
  • Antioxidant-Rich Diet, GSTP1 rs1871042 Polymorphism, and Gastric Cancer Risk in a Hospital-Based Case-Control Study
    Jimi Kim, Hyejin Kim, Jeonghee Lee, Il Ju Choi, Young-Il Kim, Jeongseon Kim
    Frontiers in Oncology.2021;[Epub]     CrossRef
  • Disaggregated mortality from gastrointestinal cancers in Asian Americans: Analysis of United States death records
    Robert J. Huang, Nora Sharp, Ruth Talamoa, Kristopher Kapphahn, Vedant Sathye, Bryant Lin, Malathi Srinivasan, Latha P. Palaniappan
    International Journal of Cancer.2021; 148(12): 2954.     CrossRef
  • Asian gastric cardia adenocarcinoma: A distinct and understudied cancer with etiologic similarities to both esophageal squamous cell carcinoma and noncardia gastric adenocarcinoma
    Christian C. Abnet
    Journal of the National Cancer Center.2021; 1(2): 44.     CrossRef
  • Population Attributable Fraction of Helicobacter pylori Infection–Related Gastric Cancer in Korea: A Meta-Analysis
    Yoon Park, Moran Ki
    Cancer Research and Treatment.2021; 53(3): 744.     CrossRef
  • Helicobacter pylori Is Associated With Precancerous and Cancerous Lesions of the Gastric Cardia Mucosa: Results of a Large Population-Based Study in China
    Shuanghua Xie, Shaoming Wang, Liyan Xue, Daniel R. S. Middleton, Chentao Guan, Changqing Hao, Jinwu Wang, Bianyun Li, Ru Chen, Xinqing Li, Wenqiang Wei
    Frontiers in Oncology.2020;[Epub]     CrossRef
  • Vitamin D Status and Gastric Cancer: A Cross-Sectional Study in Koreans
    Jung Hyun Kwak, Jean Kyung Paik
    Nutrients.2020; 12(7): 2004.     CrossRef
  • Impact of previous metronidazole exposure on metronidazole-based second-line quadruple therapy for Helicobacter pylori infection
    Gil Ho Lee, Kee Myung Lee, Sung Jae Shin, Joon Koo Kang, Choong-Kyun Noh, Jin Hong Kim, Sun Gyo Lim
    The Korean Journal of Internal Medicine.2020; 35(5): 1094.     CrossRef
  • Unraveling the identity of gastric cardiac cancer
    Qin Huang, Matthew Read, Jason S. Gold, Xiao Ping Zou
    Journal of Digestive Diseases.2020; 21(12): 674.     CrossRef
  • Smoking status and subsequent gastric cancer risk in men compared with women: a meta-analysis of prospective observational studies
    Wen-Ya Li, Yunan Han, Hui-Mian Xu, Zhen-Ning Wang, Ying-Ying Xu, Yong-Xi Song, Hao Xu, Song-Cheng Yin, Xing-Yu Liu, Zhi-Feng Miao
    BMC Cancer.2019;[Epub]     CrossRef
  • Risk of malignancy in patients with psoriasis: a 15‐year nationwide population‐based prospective cohort study in Korea
    J.W. Lee, K.J. Jung, T.G. Kim, M. Lee, J. Oh, S.H. Jee, M.G. Lee
    Journal of the European Academy of Dermatology and Venereology.2019; 33(12): 2296.     CrossRef
  • Epidemiology of gastric cancer in Korea
    Kwang-Pil Ko
    Journal of the Korean Medical Association.2019; 62(8): 398.     CrossRef
  • Cathepsin S as a target in gastric cancer (Review)
    Adriano Da Costa, Fernando Santa‑Cruz, Luiz Mattos, Maria Aquino, Camila Martins, �lvaro Ferraz, Jos� Figueiredo
    Molecular and Clinical Oncology.2019;[Epub]     CrossRef
  • Environmental contributions to gastrointestinal and liver cancer in the Asia–Pacific region
    Kwang‐Pil Ko, Aesun Shin, Sooyoung Cho, Sue K Park, Keun‐Young Yoo
    Journal of Gastroenterology and Hepatology.2018; 33(1): 111.     CrossRef
  • Comparative analysis of the Hom family of outer membrane proteins in isolates from two geographically distinct regions: The United States and South Korea
    Stephanie L. Servetas, Aeryun Kim, Hanfu Su, Jeong‐Heon Cha, D. Scott Merrell
    Helicobacter.2018;[Epub]     CrossRef
  • Family history of gastric cancer is associated with the risk of colorectal neoplasia in Korean population
    Yoon Suk Jung, Nam Hee Kim, Hyo-Joon Yang, Soo-Kyung Park, Jung Ho Park, Dong Il Park, Chong Il Sohn
    Digestive and Liver Disease.2017; 49(10): 1155.     CrossRef
  • Association between alcohol consumption and the risk of gastric cancer: a meta-analysis of prospective cohort studies
    Zheng He, Ting-Ting Zhao, Hui-Mian Xu, Zhen-Ning Wang, Ying-Ying Xu, Yong-Xi Song, Zhong-Ran Ni, Hao Xu, Song-Cheng Yin, Xing-Yu Liu, Zhi-Feng Miao
    Oncotarget.2017; 8(48): 84459.     CrossRef
Brief Report
Citation Discovery Tools for Conducting Adaptive Meta-analyses to Update Systematic Reviews
Jong-Myon Bae, Eun Hee Kim
J Prev Med Public Health. 2016;49(2):129-133.   Published online March 14, 2016
DOI: https://doi.org/10.3961/jpmph.15.074
  • 9,303 View
  • 109 Download
  • 18 Crossref
AbstractAbstract PDF
Objectives
The systematic review (SR) is a research methodology that aims to synthesize related evidence. Updating previously conducted SRs is necessary when new evidence has been produced, but no consensus has yet emerged on the appropriate update methodology. The authors have developed a new SR update method called ‘adaptive meta-analysis’ (AMA) using the ‘cited by’, ‘similar articles’, and ‘related articles’ citation discovery tools in the PubMed and Scopus databases. This study evaluates the usefulness of these citation discovery tools for updating SRs.
Methods
Lists were constructed by applying the citation discovery tools in the two databases to the articles analyzed by a published SR. The degree of overlap between the lists and distribution of excluded results were evaluated.
Results
The articles ultimately selected for the SR update meta-analysis were found in the lists obtained from the ‘cited by’ and ‘similar’ tools in PubMed. Most of the selected articles appeared in both the ‘cited by’ lists in Scopus and PubMed. The Scopus ‘related’ tool did not identify the appropriate articles.
Conclusions
The AMA, which involves using both citation discovery tools in PubMed, and optionally, the ‘related’ tool in Scopus, was found to be useful for updating an SR.
Summary

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  • The impacts of menopausal hormone therapy on longer-term health consequences of ovarian hormone deficiency
    B.-K. Yoon
    Climacteric.2023; 26(3): 193.     CrossRef
  • Citation tracking for systematic literature searching: A scoping review
    Julian Hirt, Thomas Nordhausen, Christian Appenzeller‐Herzog, Hannah Ewald
    Research Synthesis Methods.2023; 14(3): 563.     CrossRef
  • Circulating 25-hydroxyvitamin D levels and hypertension risk after adjusting for publication bias
    Jong-Myon Bae
    Clinical Hypertension.2022;[Epub]     CrossRef
  • Coffee Consumption and Risk of Prostate Cancer in Local, Advanced, and Fatal Grades: A Meta-Epidemiological Study of Prospective Cohort Studies
    Jong-Myon Bae
    The Korean Journal of Urological Oncology.2021; 19(1): 16.     CrossRef
  • Sex as an effect modifier in the association between alcohol intake and gastric cancer risk
    Jong-Myon Bae
    World Journal of Gastrointestinal Oncology.2021; 13(5): 453.     CrossRef
  • Coffee consumption and risk of type 2 diabetes mellitus in Asians: A meta-epidemiological study of population-based cohort studies
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    World Journal of Diabetes.2021; 12(6): 908.     CrossRef
  • Hormonal Replacement Therapy and Risk of Thyroid Cancer in Women: A Meta-Epidemiological Analysis of Prospective Cohort Studies
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    Journal of Menopausal Medicine.2021; 27(3): 141.     CrossRef
  • History of Diabetes Mellitus and Risk of Breast Cancer in Asian Women: A Meta-Epidemiological Analysis of Population-Based Cohort Studies
    Jong-Myon Bae
    Journal of Menopausal Medicine.2020; 26(1): 29.     CrossRef
  • Body Mass Index and Risk of Gastric Cancer in Asian Adults: A Meta-Epidemiological Meta-Analysis of Population-Based Cohort Studies
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    Cancer Research and Treatment.2020; 52(2): 369.     CrossRef
  • History of Coffee Consumption and Risk of Alzheimer's Disease: a Meta-epidemiological Study of Population-based Cohort Studies
    Jong-Myon Bae
    Dementia and Neurocognitive Disorders.2020; 19(3): 108.     CrossRef
  • History of Diabetes Mellitus and Risk of Prostate Cancer: A Meta-Epidemiological Study of Population-Based Cohort Studies in East Asian Men
    Jong-Myon Bae
    The Korean Journal of Urological Oncology.2019; 17(3): 119.     CrossRef
  • Prophylactic efficacy of probiotics on travelers’ diarrhea: an adaptive meta-analysis of randomized controlled trials
    Jong-Myon Bae
    Epidemiology and Health.2018; 40: e2018043.     CrossRef
  • The Role of Menopausal Hormone Therapy in Reducing All-cause Mortality in Postmenopausal Women Younger than 60 Years: An Adaptive Meta-analysis
    Jong-Myon Bae, Byung-Koo Yoon
    Journal of Menopausal Medicine.2018; 24(3): 139.     CrossRef
  • Is there evidence that Kudoa septempunctata can cause an outbreak of acute food poisoning?
    Young-Bae Chung, Jong-Myon Bae
    Epidemiology and Health.2017; 39: e2017004.     CrossRef
  • Human papillomavirus infection and risk of breast cancer: a meta-analysis of case-control studies
    Jong-Myon Bae, Eun Hee Kim
    Infectious Agents and Cancer.2016;[Epub]     CrossRef
  • Epstein-Barr Virus Infection and Risk of Breast Cancer: An Adaptive Meta-Analysis for Case-Control Studies
    Jong-Myon Bae, Eun Hee Kim
    Archives of Clinical Infectious Diseases.2016;[Epub]     CrossRef
  • Dietary intakes of citrus fruit and risk of gastric cancer incidence: an adaptive meta-analysis of cohort studies
    Jong-Myon Bae, Eun Hee Kim
    Epidemiology and Health.2016; 38: e2016034.     CrossRef
  • Breast Density and Risk of Breast Cancer in Asian Women: A Meta-analysis of Observational Studies
    Jong-Myon Bae, Eun Hee Kim
    Journal of Preventive Medicine and Public Health.2016; 49(6): 367.     CrossRef
Review Article
Epstein-Barr Virus and Gastric Cancer Risk: A Meta-analysis With Meta-regression of Case-control Studies
Jong-Myon Bae, Eun Hee Kim
J Prev Med Public Health. 2016;49(2):97-107.   Published online March 4, 2016
DOI: https://doi.org/10.3961/jpmph.15.068
  • 13,479 View
  • 196 Download
  • 45 Crossref
AbstractAbstract PDF
Objectives
Research on how the risk of gastric cancer increases with Epstein-Barr virus (EBV) infection is lacking. In a systematic review that investigated studies published until September 2014, the authors did not calculate the summary odds ratio (SOR) due to heterogeneity across studies. Therefore, we include here additional studies published until October 2015 and conduct a meta-analysis with meta-regression that controls for the heterogeneity among studies.
Methods
Using the studies selected in the previously published systematic review, we formulated lists of references, cited articles, and related articles provided by PubMed. From the lists, only case-control studies that detected EBV in tissue samples were selected. In order to control for the heterogeneity among studies, subgroup analysis and meta-regression were performed.
Results
In the 33 case-control results with adjacent non-cancer tissue, the total number of test samples in the case and control groups was 5280 and 4962, respectively. In the 14 case-control results with normal tissue, the total number of test samples in case and control groups was 1393 and 945, respectively. Upon meta-regression, the type of control tissue was found to be a statistically significant variable with regard to heterogeneity. When the control tissue was normal tissue of healthy individuals, the SOR was 3.41 (95% CI, 1.78 to 6.51; I-squared, 65.5%).
Conclusions
The results of the present study support the argument that EBV infection increases the risk of gastric cancer. In the future, age-matched and sex-matched case-control studies should be conducted.
Summary

Citations

Citations to this article as recorded by  
  • Role of the VEGF in virus‐associated cancers
    Shaian Tavakolian, Seidamir Pasha Tabaeian, Abolfazl Namazi, Ebrahim Faghihloo, Abolfazl Akbari
    Reviews in Medical Virology.2024;[Epub]     CrossRef
  • Sex-dependent different clinicopathological characterization of Epstein–Barr virus-associated gastric carcinoma: a large-scale study
    Ji-Hyun Kim, Nayoung Kim, Du Hyun Song, Yonghoon Choi, Eun-Bi Jeon, Sihyun Kim, Yu Kyung Jun, Hyuk Yoon, Cheol Min Shin, Young Soo Park, Dong Ho Lee, Hyeon Jeong Oh, Hye Seung Lee, Young Suk Park, Sang-Hoon Ahn, Yun-Suhk Suh, Do Joong Park, Hyung Ho Kim,
    Gastric Cancer.2024; 27(2): 221.     CrossRef
  • Investigating the relationship between Epstein‐Barr virus infection and gastric cancer: A systematic review and meta‐analysis
    Saman Dokanei, Dariush Minai‐Tehrani, Mohsen Moghoofei, Mosayeb Rostamian
    Health Science Reports.2024;[Epub]     CrossRef
  • Chromatin and noncoding RNA-mediated mechanisms of gastric tumorigenesis
    Adrian Kwan Ho Loe, Lexin Zhu, Tae-Hee Kim
    Experimental & Molecular Medicine.2023; 55(1): 22.     CrossRef
  • Quantitative analysis of Epstein–Barr virus DNA in plasma and stomach biopsies of patients with gastric cancer
    Behrang Sarshari, Mehrdad Ravanshad, Amirhassan Rabbani, Raziyeh Zareh-Khoshchehreh, Fedra Mokhtari, Binazir Khanabadi, Seyed Reza Mohebbi, Hamid Asadzadeh Aghdaei
    Virus Genes.2023; 59(3): 351.     CrossRef
  • Risk factors for gastric cancer: A comprehensive analysis of observational studies
    Yuqing Hui, Chunyi Tu, Danlei Liu, Huijie Zhang, Xiaobing Gong
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • New Advances in Molecular Typing of Gastric Cancer
    志民 江
    Advances in Clinical Medicine.2023; 13(02): 2392.     CrossRef
  • Assessing Epstein–Barr virus in gastric cancer: clinicopathological features and prognostic implications
    Guanghua Li, Zhihao Zhou, Zhixiong Wang, Zhao Wang
    Infectious Agents and Cancer.2023;[Epub]     CrossRef
  • Landscape of KRAS, BRAF, and PIK3CA Mutations and Clinical Features of EBV-Associated and Microsatellite Unstable Gastric Cancer
    A. M. Danishevich, N. I. Pospehova, A. M. Stroganova, D. A. Golovina, M. P. Nikulin, A. E. Kalinin, S. E. Nikolaev, I. S. Stilidi, L. N. Lyubchenko
    Molecular Biology.2023; 57(1): 61.     CrossRef
  • JC Polyomavirus T-antigen protein expression and the risk of colorectal cancer: Systematic review and meta-analysis of case-control studies
    Lenka J. Kimla, Taane G. Clark, Sri Banerjee, Susana Campino, Alvaro Galli
    PLOS ONE.2023; 18(3): e0283642.     CrossRef
  • Evaluation Of The Results Of Hematological Parameters Of Patients With Gastric Cancer
    Mehmet Ali GÜL, Duygu TOZCU, Nezahat KURT, Mustafa ÇAPRAZ
    Bozok Tıp Dergisi.2023;[Epub]     CrossRef
  • Cancers Attributable to Infections in the US in 2017
    Karena D. Volesky-Avellaneda, Samantha Morais, Stephen D. Walter, Thomas R. O’Brien, Allan Hildesheim, Eric A. Engels, Mariam El-Zein, Eduardo L. Franco
    JAMA Oncology.2023; 9(12): 1678.     CrossRef
  • Association between Environmental Temperature and Survival in Gastroesophageal Cancers: A Population Based Study
    Kush Gupta, Anthony George, Kristopher Attwood, Ashish Gupta, Arya Mariam Roy, Shipra Gandhi, Beas Siromoni, Anurag Singh, Elizabeth Repasky, Sarbajit Mukherjee
    Cancers.2023; 16(1): 74.     CrossRef
  • Mycobacterial infection aggravates Helicobacter pylori-induced gastric preneoplastic pathology by redirection of de novo induced Treg cells
    Mariela Artola-Borán, Angela Fallegger, Martina Priola, Rima Jeske, Tim Waterboer, Anders B. Dohlman, Xiling Shen, Sebastian Wild, Jiazhuo He, Mitchell P. Levesque, Shida Yousefi, Hans-Uwe Simon, Phil F. Cheng, Anne Müller
    Cell Reports.2022; 38(6): 110359.     CrossRef
  • Long Non-coding RNAs in Gammaherpesvirus Infections: Their Roles in Tumorigenic Mechanisms
    Wen Liu, Yan Zhang, Bing Luo
    Frontiers in Microbiology.2021;[Epub]     CrossRef
  • Epstein-Barr Virus-associated Gastric Carcinoma
    Bong Eun Lee
    The Korean Journal of Helicobacter and Upper Gastrointestinal Research.2021; 21(1): 22.     CrossRef
  • Sex as an effect modifier in the association between alcohol intake and gastric cancer risk
    Jong-Myon Bae
    World Journal of Gastrointestinal Oncology.2021; 13(5): 453.     CrossRef
  • Current and potential biomarkers in gastric cancer: a critical review of the literature
    Ramon Andrade de Mello, Giovanna Araujo Amaral, Nathália Moisés Neves, Estela Gudin Lippo, Fernanda Parini, Song Xu, Maria Tolia, Nikolaos Charalampakis, Hakaru Tadokoro, Pedro Castelo-Branco, Jinhui Zhu
    Future Oncology.2021; 17(25): 3383.     CrossRef
  • Cancer Cell Direct Bioprinting: A Focused Review
    David Angelats Lobo, Paola Ginestra, Elisabetta Ceretti, Teresa Puig Miquel, Joaquim Ciurana
    Micromachines.2021; 12(7): 764.     CrossRef
  • Recent Advances in the Diagnosis, Staging, Treatment, and Prognosis of Advanced Gastric Cancer: A Literature Review
    Zhi-da Chen, Peng-fei Zhang, Hong-qing Xi, Bo Wei, Lin Chen, Yun Tang
    Frontiers in Medicine.2021;[Epub]     CrossRef
  • Epstein–Barr Virus and Helicobacter Pylori Co-Infection in Non-Malignant Gastroduodenal Disorders
    Ramsés Dávila-Collado, Oscar Jarquín-Durán, Le Thanh Dong, J. Luis Espinoza
    Pathogens.2020; 9(2): 104.     CrossRef
  • Genomic Characterization of Non-Invasive Differentiated-Type Gastric Cancer in the Japanese Population
    Koki Nakamura, Yuji Urabe, Kenichi Kagemoto, Ryo Yuge, Ryohei Hayashi, Atsushi Ono, C. Nelson Hayes, Shiro Oka, Masanori Ito, Takashi Nishisaka, Kazuaki Tanabe, Koji Arihiro, Hideki Ohdan, Shinji Tanaka, Kazuaki Chayama
    Cancers.2020; 12(2): 510.     CrossRef
  • Association between Epstein-Barr virus infection and gastric cancer: a systematic review and meta-analysis
    Ahmad Tavakoli, Seyed Hamidreza Monavari, Farid Solaymani Mohammadi, Seyed Jalal Kiani, Saber Armat, Mohammad Farahmand
    BMC Cancer.2020;[Epub]     CrossRef
  • Importance of investigating high-risk human papillomavirus in lymph node metastasis of esophageal adenocarcinoma
    Preeti Sharma, Shweta Dutta Gautam, Shanmugarajah Rajendra
    World Journal of Gastroenterology.2020; 26(21): 2729.     CrossRef
  • The impact of EBV on the epigenetics of gastric carcinoma
    Wen Liu, Bing Luo
    Future Virology.2020; 15(3): 183.     CrossRef
  • The Clinicopathological Features and Genetic Alterations in Epstein–Barr Virus-Associated Gastric Cancer Patients after Curative Surgery
    Wen-Liang Fang, Ming-Huang Chen, Kuo-Hung Huang, Chien-Hsing Lin, Yee Chao, Su-Shun Lo, Anna Fen-Yau Li, Chew-Wun Wu, Yi-Ming Shyr
    Cancers.2020; 12(6): 1517.     CrossRef
  • Gastric cancer: a comprehensive review of current and future treatment strategies
    Rachel E. Sexton, Mohammed Najeeb Al Hallak, Maria Diab, Asfar S. Azmi
    Cancer and Metastasis Reviews.2020; 39(4): 1179.     CrossRef
  • Stage IV Epstein-Barr Virus-Associated Early Gastric Cancer and Comparative Analysis of Genetic Alterations in Primary and Metastatic Tumors
    Hong Jun Kim, Chi Hoon Maeng, Ji-Youn Sung, Kiyong Na
    Journal of Nippon Medical School.2020; 87(6): 350.     CrossRef
  • EBV as a potential risk factor for hepatobiliary system cancer: A meta-analysis with 918 cases
    Zu-xuan Chen, Xiao-tong Peng, Lin Tan, Gao-qiang Zhai, Gang Chen, Ting-qing Gan, Jian-jun Li
    Pathology - Research and Practice.2019; 215(2): 278.     CrossRef
  • Distribution of the Epstein‐Barr virus in the normal stomach and gastric lesions in Thai population
    Supitcha Wanvimonsuk, Pichaya Thitiwanichpiwong, Somboon Keelawat, Apiwat Mutirangura, Nakarin Kitkumthorn
    Journal of Medical Virology.2019; 91(3): 444.     CrossRef
  • Epstein Barr virus antibody reactivity and gastric cancer: A population-based case-control study
    Nuria Aragonés, Nerea Fernández de Larrea, Roberto Pastor-Barriuso, Angelika Michel, Beatriz Romero, Michael Pawlita, Sara Mayorgas-Torralba, Vicente Martín, Victor Moreno, Delphine Casabonne, Jesús Castilla, Guillermo Fernandez-Tardón, Trinidad Dierssen-
    Cancer Epidemiology.2019; 61: 79.     CrossRef
  • Targeted therapies in metastatic gastric cancer: Current knowledge and future perspectives
    Antonio Pellino, Erika Riello, Floriana Nappo, Stefano Brignola, Sabina Murgioni, Selma Ahcene Djaballah, Sara Lonardi, Vittorina Zagonel, Massimo Rugge, Fotios Loupakis, Matteo Fassan
    World Journal of Gastroenterology.2019; 25(38): 5773.     CrossRef
  • Comprehensive Multi-Omics Analysis Reveals Aberrant Metabolism of Epstein–Barr-Virus-Associated Gastric Carcinoma
    Yoon, Kim, Long, Min, Kim, Yoon, Anh, Park, Kwon, Lee
    Cells.2019; 8(10): 1220.     CrossRef
  • Circulating Tumor DNA Sequencing Analysis of Gastroesophageal Adenocarcinoma
    Steven B. Maron, Leah M. Chase, Samantha Lomnicki, Sara Kochanny, Kelly L. Moore, Smita S. Joshi, Stacie Landron, Julie Johnson, Lesli A. Kiedrowski, Rebecca J. Nagy, Richard B. Lanman, Seung Tae Kim, Jeeyun Lee, Daniel V.T. Catenacci
    Clinical Cancer Research.2019; 25(23): 7098.     CrossRef
  • A viral map of gastrointestinal cancers
    Natália R. Costa, Rui M. Gil da Costa, Rui Medeiros
    Life Sciences.2018; 199: 188.     CrossRef
  • Novel Systemic Therapies for Advanced Gastric Cancer
    Hong Jun Kim, Sang Cheul Oh
    Journal of Gastric Cancer.2018; 18(1): 1.     CrossRef
  • Outlooks on Epstein-Barr virus associated gastric cancer
    Madiha Naseem, Afsaneh Barzi, Christine Brezden-Masley, Alberto Puccini, Martin D. Berger, Ryuma Tokunaga, Francesca Battaglin, Shivani Soni, Michelle McSkane, Wu Zhang, Heinz-Josef Lenz
    Cancer Treatment Reviews.2018; 66: 15.     CrossRef
  • Prevalence of multiple infections and the risk of gastric adenocarcinoma development at earlier age
    Sadegh Fattahi, Novin Nikbakhsh, Hassan Taheri, Elham Ghadami, Mohadeseh Kosari-Monfared, Galia Amirbozorgi, Mohsen Asouri, Maryam Pilehchian-Langroudi, Mohammad Ranaee, Ali Akbar Samadani, Mahdi Paryan, Haleh Akhavan-Niaki
    Diagnostic Microbiology and Infectious Disease.2018; 92(1): 62.     CrossRef
  • VEGF Upregulation in Viral Infections and Its Possible Therapeutic Implications
    Khaled Alkharsah
    International Journal of Molecular Sciences.2018; 19(6): 1642.     CrossRef
  • Researches of Epigenetic Epidemiology for Infections and Radiation as Carcinogen
    Jong-Myon Bae
    Journal of Preventive Medicine and Public Health.2018; 51(4): 169.     CrossRef
  • Detection of Gastric Cancer with Novel Methylated DNA Markers: Discovery, Tissue Validation, and Pilot Testing in Plasma
    Bradley W. Anderson, Yun-Suhk Suh, Boram Choi, Hyuk-Joon Lee, Tracy C. Yab, William R. Taylor, Brian A. Dukek, Calise K. Berger, Xiaoming Cao, Patrick H. Foote, Mary E. Devens, Lisa A. Boardman, John B. Kisiel, Douglas W. Mahoney, Seth W. Slettedahl, Hati
    Clinical Cancer Research.2018; 24(22): 5724.     CrossRef
  • Epstein–Barr Virus Infection in Adult Patients with Gastric Cancer in Northeast of Iran
    Sakineh Amoueian, Armin Attaranzadeh, Zeinab Gholamimoallem, Masoud Sadeghi, Seyed-Mehdi Hashemi, Abolghasem Allahyari
    Indian Journal of Medical and Paediatric Oncology.2018; 39(02): 206.     CrossRef
  • Immunotherapy for gastric cancers: emerging role and future perspectives
    Marta Bonotto, Silvio Ken Garattini, Debora Basile, Elena Ongaro, Valentina Fanotto, Monica Cattaneo, Francesco Cortiula, Donatella Iacono, Giovanni Gerardo Cardellino, Nicoletta Pella, Gianpiero Fasola, Lorenzo Antonuzzo, Nicola Silvestris, Giuseppe Apri
    Expert Review of Clinical Pharmacology.2017; 10(6): 609.     CrossRef
  • Molecular classifications of gastric cancers: Novel insights and possible future applications
    Silvio Ken Garattini, Debora Basile, Monica Cattaneo, Valentina Fanotto, Elena Ongaro, Marta Bonotto, Francesca V Negri, Rosa Berenato, Paola Ermacora, Giovanni Gerardo Cardellino, Mariella Giovannoni, Nicoletta Pella, Mario Scartozzi, Lorenzo Antonuzzo,
    World Journal of Gastrointestinal Oncology.2017; 9(5): 194.     CrossRef
  • Epstein-Barr Virus Infection and Risk of Breast Cancer: An Adaptive Meta-Analysis for Case-Control Studies
    Jong-Myon Bae, Eun Hee Kim
    Archives of Clinical Infectious Diseases.2016;[Epub]     CrossRef
Review
Hormonal Replacement Therapy and the Risk of Lung Cancer in Women: An Adaptive Meta-analysis of Cohort Studies
Jong-Myon Bae, Eun Hee Kim
J Prev Med Public Health. 2015;48(6):280-286.   Published online November 9, 2015
DOI: https://doi.org/10.3961/jpmph.15.054
  • 11,920 View
  • 124 Download
  • 26 Crossref
AbstractAbstract PDF
Objectives
Approximately 10% to 15% of lung cancer cases occur in never-smokers. Hormonal factors have been suggested to lead to an elevated risk of lung cancer in women. This systematic review (SR) aimed to investigate the association between hormonal replacement therapy (HRT) and the risk of lung cancer in women using cohort studies.
Methods
We first obtained previous SR articles on this topic. Based on these studies we made a list of refereed, cited, and related articles using the PubMed and Scopus databases. All cohort studies that evaluated the relative risk of HRT exposure on lung cancer occurrence in women were selected. Estimate of summary effect size (sES) with 95% confidence intervals (CIs) were calculated.
Results
A total of 14 cohort studies were finally selected. A random effect model was applied due to heterogeneity (I-squared, 64.3%). The sES of the 14 articles evaluating the impact of HRT exposure on lung cancer occurrence in women indicated no statistically significant increase in lung cancer risk (sES, 0.99; 95% CI, 0.90 to 1.09).
Conclusions
These results showed that HRT history had no effect on the risk of lung cancer in women, even though the sES of case-control studies described in previous SR articles indicated that HRT had a protective effect against lung cancer. It is necessary to conduct a pooled analysis of cohort studies.
Summary

Citations

Citations to this article as recorded by  
  • Reproductive factors and risk of lung cancer among 300,000 Chinese female never-smokers: evidence from the China Kadoorie Biobank study
    Marwa M. A. Elbasheer, Bastian Bohrmann, Yiping Chen, Jun Lv, Dianjianyi Sun, Xia Wu, Xiaoming Yang, Daniel Avery, Liming Li, Zhengming Chen, Christiana Kartsonaki, Ka Hung Chan, Ling Yang
    BMC Cancer.2024;[Epub]     CrossRef
  • The 2022 hormone therapy position statement of The North American Menopause Society

    Menopause.2022; 29(7): 767.     CrossRef
  • Protective effects of 17-β-oestradiol and phytoestrogen on age-induced oxidative stress and inhibition of surfactant synthesis in rat type II pneumocytes
    Lisa Rancan, Angela Puig, José M. Balibrea, Sergio D. Paredes, Cruz García, Luis Jiménez, Jesús A. Fernández-Tresguerres, Elena Vara
    International Journal of Food Sciences and Nutrition.2021; 72(1): 26.     CrossRef
  • The smoking estrogens – a potential synergy between estradiol and benzo(a)pyrene
    Bartosz Kazimierz Słowikowski, Maurycy Jankowski, Paweł Piotr Jagodziński
    Biomedicine & Pharmacotherapy.2021; 139: 111658.     CrossRef
  • Hormone replacement therapy and cancer survival: a longitudinal cohort study: protocol paper
    Tom Alan Ranger, Judith Burchardt, Ashley Kieran Clift, Winnie Xue Mei, Carol Coupland, Pui San Tan, Sharon Dixon, Christopher Robert Cardwell, Julia Hippisley-Cox
    BMJ Open.2021; 11(8): e046701.     CrossRef
  • Associations between female lung cancer risk and sex steroid hormones: a systematic review and meta-analysis of the worldwide epidemiological evidence on endogenous and exogenous sex steroid hormones
    Hui Zeng, Zhuoyu Yang, Jiang Li, Yan Wen, Zheng Wu, Yadi Zheng, Yiwen Yu, Yongjie Xu, Shugeng Gao, Fengwei Tan, Ni Li, Qi Xue, Jie He
    BMC Cancer.2021;[Epub]     CrossRef
  • The influence of hormone replacement therapy on lung cancer incidence and mortality
    Ashley L. Titan, Hao He, Natalie Lui, Douglas Liou, Mark Berry, Joseph B. Shrager, Leah M. Backhus
    The Journal of Thoracic and Cardiovascular Surgery.2020; 159(4): 1546.     CrossRef
  • Lung cancer incidence and mortality in relationship to hormone replacement therapy use among women participating in the PLCO trial: a post hoc analysis
    Omar Abdel-Rahman
    International Journal of Clinical Oncology.2020; 25(5): 885.     CrossRef
  • Female reproductive factors and the risk of lung cancer in postmenopausal women: a nationwide cohort study
    Keun Hye Jeon, Dong Wook Shin, Kyungdo Han, Dahye Kim, Jung Eun Yoo, Su-Min Jeong, Jong ho Cho
    British Journal of Cancer.2020; 122(9): 1417.     CrossRef
  • Frailty Is Inversely Related to Age at Menopause and Elevated in Women Who Have Had a Hysterectomy: An Analysis of the Canadian Longitudinal Study on Aging
    Chris P Verschoor, Hala Tamim
    The Journals of Gerontology: Series A.2019; 74(5): 675.     CrossRef
  • We need to educate young lung cancer patients about menopause risk
    Fahad Faruqi, Elizabeth Cathcart-Rake, Kathryn J Ruddy
    Lung Cancer Management.2019; 8(1): LMT08.     CrossRef
  • Sex steroid metabolism and actions in non-small cell lung carcinoma
    Teeranut Asavasupreechar, Monica S.M. Chan, Ryoko Saito, Yasuhiro Miki, Viroj Boonyaratanakornkit, Hironobu Sasano
    The Journal of Steroid Biochemistry and Molecular Biology.2019; 193: 105440.     CrossRef
  • Hormone replacement therapy and lung cancer risk in women: a meta-analysis of cohort studies
    Chao Jin, Baoping Lang
    Medicine.2019; 98(51): e17532.     CrossRef
  • Health-Related Quality of Life of Patients with HPV-Related Cancers in Indonesia
    Didik Setiawan, Arrum Dusafitri, Githa Fungie Galistiani, Antoinette D.I. van Asselt, Maarten J. Postma
    Value in Health Regional Issues.2018; 15: 63.     CrossRef
  • Biases Inherent in Studies of Coffee Consumption in Early Pregnancy and the Risks of Subsequent Events
    Alan Leviton
    Nutrients.2018; 10(9): 1152.     CrossRef
  • The 2017 hormone therapy position statement of The North American Menopause Society

    Menopause.2018; 25(11): 1362.     CrossRef
  • Exploring estrogenic activity in lung cancer
    Bartosz Kazimierz Słowikowski, Margarita Lianeri, Paweł Piotr Jagodziński
    Molecular Biology Reports.2017; 44(1): 35.     CrossRef
  • Hormone therapy and lung cancer mortality in women: Systematic review and meta-analysis
    Wentao Li, Xiaona Lin, Rui Wang, Feng Wang, Shaohua Xie, Lap Ah Tse
    Steroids.2017; 118: 47.     CrossRef
  • Epidemiology of Second Primary Tumors in Women With Ovarian Cancer
    Tomi T. Kanninen, Dimitrios Nasioudis, Giovanni Sisti, Kevin Holcomb, Mariarosaria Di Tommaso, Susan Khalil, Anar Gojayev, Steven S. Witkin
    International Journal of Gynecologic Cancer.2017; 27(4): 659.     CrossRef
  • The 2017 hormone therapy position statement of The North American Menopause Society

    Menopause.2017; 24(7): 728.     CrossRef
  • Citation Discovery Tools for Conducting Adaptive Meta-analyses to Update Systematic Reviews
    Jong-Myon Bae, Eun Hee Kim
    Journal of Preventive Medicine and Public Health.2016; 49(2): 129.     CrossRef
  • Osteoporosis: Modern Paradigms for Last Century’s Bones
    Marlena Kruger, Frances Wolber
    Nutrients.2016; 8(6): 376.     CrossRef
  • Menopausal hormone therapy in cancer survivors: A narrative review of the literature
    Carol L. Kuhle, Ekta Kapoor, Richa Sood, Jacqueline M. Thielen, Aminah Jatoi, Stephanie S. Faubion
    Maturitas.2016; 92: 86.     CrossRef
  • Dietary intakes of citrus fruit and risk of gastric cancer incidence: an adaptive meta-analysis of cohort studies
    Jong-Myon Bae, Eun Hee Kim
    Epidemiology and Health.2016; 38: e2016034.     CrossRef
  • Modifiable risk factors of lung cancer in “never-smoker” women
    Jong-Myon Bae
    Epidemiology and Health.2015; 37: e2015047.     CrossRef
  • Human papillomavirus infection and risk of lung cancer in never-smokers and women: an ‘adaptive’ meta-analysis
    Jong-Myon Bae, Eun Hee Kim
    Epidemiology and Health.2015; 37: e2015052.     CrossRef
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