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2 "Kazakhstan"
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Original Article
Lung Cancer Screening With Low-dose Chest Computed Tomography: Experience From Radon-contaminated Regions in Kazakhstan
Alexandra Panina, Dilyara Kaidarova, Zhamilya Zholdybay, Akmaral Ainakulova, Jandos Amankulov, Dias Toleshbayev, Zhanar Zhakenova, Arman Khozhayev
J Prev Med Public Health. 2022;55(3):273-279.   Published online April 14, 2022
DOI: https://doi.org/10.3961/jpmph.21.600
  • 5,197 View
  • 102 Download
  • 1 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Objectives
The aim of this study was to present the baseline results of a pilot project conducted to evaluate the effectiveness of lung cancer screening using low-dose chest computed tomography (CT) in regions with excessive radon levels in the Republic of Kazakhstan.
Methods
In total, 3671 participants were screened by low-dose chest CT. Current, former, and never-smokers who resided in regions with elevated levels of radon in drinking water sources and indoor air, aged between 40 and 75 with no history of any cancer, and weighing less than 140 kg were included in the study. All lung nodules were categorized according to the American College of Radiology Lung Imaging Reporting and Data System (Lung-RADS 1.0).
Results
Overall, 614 (16.7%) participants had positive baseline CT findings (Lung-RADS categories 3 and 4). Seventy-four cancers were detected, yielding an overall cancer detection rate of 2.0%, with 10.8% (8/74) stage I and a predominance of stage III (59.4%; 44/74). Women never-smokers and men current smokers had the highest cancer detection rates, at 2.9% (12/412) and 6.1% (12/196), respectively. Compared to never-smokers, higher odds ratios (ORs) of lung cancer detection were found in smokers (OR,2.48; 95% confidence interval [CI], 1.52 to 4.05, p<0.001) and former smokers (OR, 2.32; 95% CI, 1.06 to 5.06, p=0.003). The most common histologic type of cancer was adenocarcinoma (58.1%).
Conclusions
Implementation of low-dose CT screening for lung cancer in regions with elevated radon levels is an effective method for both smokers and never-smokers.
Summary

Citations

Citations to this article as recorded by  
  • Lung cancer screening for never smokers: current evidence and future directions
    Kay Choong See
    Singapore Medical Journal.2024;[Epub]     CrossRef
  • Secondary prevention and treatment innovation of early stage non-small cell lung cancer: Impact on diagnostic-therapeutic pathway from a multidisciplinary perspective
    Giulia Pasello, Daniela Scattolin, Laura Bonanno, Francesca Caumo, Andrea Dell'Amore, Elena Scagliori, Mariaenrica Tinè, Fiorella Calabrese, Gaetano Benati, Matteo Sepulcri, Cristina Baiocchi, Michele Milella, Federico Rea, Valentina Guarneri
    Cancer Treatment Reviews.2023; 116: 102544.     CrossRef
  • Performance of Lung-RADS in different target populations: a systematic review and meta-analysis
    Yifei Mao, Jiali Cai, Marjolein A. Heuvelmans, Rozemarijn Vliegenthart, Harry J. M. Groen, Matthijs Oudkerk, Marleen Vonder, Monique D. Dorrius, Geertruida H. de Bock
    European Radiology.2023; 34(3): 1877.     CrossRef
COVID-19: Original Article
Anticipating the Need for Healthcare Resources Following the Escalation of the COVID-19 Outbreak in the Republic of Kazakhstan
Yuliya Semenova, Lyudmila Pivina, Zaituna Khismetova, Ardak Auyezova, Ardak Nurbakyt, Almagul Kauysheva, Dinara Ospanova, Gulmira Kuziyeva, Altynshash Kushkarova, Alexandr Ivankov, Natalya Glushkova
J Prev Med Public Health. 2020;53(6):387-396.   Published online October 5, 2020
DOI: https://doi.org/10.3961/jpmph.20.395
  • 5,918 View
  • 263 Download
  • 15 Crossref
AbstractAbstract PDF
Objectives
The lack of advance planning in a public health emergency can lead to wasted resources and inadvertent loss of lives. This study is aimed at forecasting the needs for healthcare resources following the expansion of the coronavirus disease 2019 (COVID-19) outbreak in the Republic of Kazakhstan, focusing on hospital beds, equipment, and the professional workforce in light of the developing epidemiological situation and the data on resources currently available.
Methods
We constructed a forecast model of the epidemiological scenario via the classic susceptible-exposed-infected-removed (SEIR) approach. The World Health Organization’s COVID-19 Essential Supplies Forecasting Tool was used to evaluate the healthcare resources needed for the next 12 weeks.
Results
Over the forecast period, there will be 104 713.7 hospital admissions due to severe disease and 34 904.5 hospital admissions due to critical disease. This will require 47 247.7 beds for severe disease and 1929.9 beds for critical disease at the peak of the COVID-19 outbreak. There will also be high needs for all categories of healthcare workers and for both diagnostic and treatment equipment. Thus, Republic of Kazakhstan faces the need for a rapid increase in available healthcare resources and/or for finding ways to redistribute resources effectively.
Conclusions
Republic of Kazakhstan will be able to reduce the rates of infections and deaths among its population by developing and following a consistent strategy targeting COVID-19 in a number of inter-related directions.
Summary

Citations

Citations to this article as recorded by  
  • Evaluating the Demand for Nucleic Acid Testing in Different Scenarios of COVID-19 Transmission: A Simulation Study
    Yu-Yuan Wang, Wei-Wen Zhang, Ze-xi Lu, Jia-lin Sun, Ming-xia Jing
    Infectious Diseases and Therapy.2024;[Epub]     CrossRef
  • Using simulation modelling and systems science to help contain COVID‐19: A systematic review
    Weiwei Zhang, Shiyong Liu, Nathaniel Osgood, Hongli Zhu, Ying Qian, Peng Jia
    Systems Research and Behavioral Science.2023; 40(1): 207.     CrossRef
  • Assessing the medical resources in COVID-19 based on evolutionary game
    Keyu Guo, Yikang Lu, Yini Geng, Jun Lu, Lei Shi, Alessandro Borri
    PLOS ONE.2023; 18(1): e0280067.     CrossRef
  • Restenosis of Coronary Arteries in Patients with Coronavirus Infection: Case Series
    Gulnara Batenova, Lyudmila Pivina, Evgeny Dedov, Altay Dyussupov, Zhanar Zhumanbayeva, Yerbol Smail, Tatyana Belikhina, Laura Pak, Diana Ygiyeva, Bruno Megarbane
    Case Reports in Medicine.2023; 2023: 1.     CrossRef
  • Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan
    Berik Koichubekov, Aliya Takuadina, Ilya Korshukov, Anar Turmukhambetova, Marina Sorokina
    Healthcare.2023; 11(5): 752.     CrossRef
  • Factors Influencing Antibiotic Consumption in Adult Population of Kazakhstan
    Nazym Iskakova, Zaituna Khismetova, Dana Suleymenova, Zhanat Kozhekenova, Zaituna Khamidullina, Umutzhan Samarova, Natalya Glushkova, Yuliya Semenova
    Antibiotics.2023; 12(3): 560.     CrossRef
  • Study of seroprevalence of SARS‐CoV‐2 in Kazakhstan
    Mukhtar Kulimbet, Timur Saliev, Gulzhan Alimbekova, Dinara Ospanova, Kundyzay Tobzhanova, Dariga Tanabayeva, Baurzhan Zhussupov, Ildar Fakhradiyev
    Epidemiology and Infection.2023;[Epub]     CrossRef
  • Editorial: Public health challenges in post-Soviet countries during and beyond COVID-19
    Natalya Glushkova, Yuliya Semenova, Antonio Sarria-Santamera
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • The Epidemiological and Economic Impact of COVID-19 in Kazakhstan: An Agent-Based Modeling
    Berik Koichubekov, Aliya Takuadina, Ilya Korshukov, Marina Sorokina, Anar Turmukhambetova
    Healthcare.2023; 11(22): 2968.     CrossRef
  • Seropositivity of SARS-CoV-2 in the Population of Kazakhstan: A Nationwide Laboratory-Based Surveillance
    Yuliya Semenova, Zhanna Kalmatayeva, Ainash Oshibayeva, Saltanat Mamyrbekova, Aynura Kudirbekova, Ardak Nurbakyt, Ardak Baizhaxynova, Paolo Colet, Natalya Glushkova, Alexandr Ivankov, Antonio Sarria-Santamera
    International Journal of Environmental Research and Public Health.2022; 19(4): 2263.     CrossRef
  • The lessons of COVID-19, SARS, and MERS: Implications for preventive strategies
    Yuliya Semenova, Varvara Trenina, Lyudmila Pivina, Natalya Glushkova, Yersin Zhunussov, Erlan Ospanov, Geir Bjørklund
    International Journal of Healthcare Management.2022; 15(4): 314.     CrossRef
  • Coronary Heart Disease and Coronavirus Disease 2019: Pathogenesis, Epidemiology, Association with Myocardial Revascularization
    Gulnara Batenova, Evgeny Dedov, Maksim Pivin, Igor Nikitin, Olga Ettinger, Yerbol Smail, Diana Ygiyeva , Lyudmila Pivina
    Open Access Macedonian Journal of Medical Sciences.2022; 10(F): 319.     CrossRef
  • Impact of the SARS-CoV-2 Outbreak on the Epidemiology and Treatment Outcomes of Fractures of the Proximal Femur in Kazakhstan
    Bekzat Beisenov, Maksut Kulzhanov, Tatyana Popova, Assel Yermekbayeva, Nurlat Beikutuly, Kanat Tezekbayev, Shynar Tanabayeva, Ildar Fakhradiyev
    Experimental and Applied Biomedical Research (EABR).2022;[Epub]     CrossRef
  • Clinical characteristics and risk factors for disease severity and mortality of COVID-19 patients with diabetes mellitus in Kazakhstan: A nationwide study
    Azhar Dyusupova, Raida Faizova, Oksana Yurkovskaya, Tatiana Belyaeva, Tatiana Terekhova, Amina Khismetova, Antonio Sarria-Santamera, Dmitry Bokov, Alexandr Ivankov, Natalya Glushkova
    Heliyon.2021; 7(3): e06561.     CrossRef
  • Comparative Analysis Of Triage Systems At Emergency Departments Of Different Countries: Implementation In Kazakhstan
    Lyudmila Pivina, Assylzhan M. Messova, Yersin T. Zhunussov, Zhanar Urazalina, Zhanna Muzdubayeva, Diana Ygiyeva, Murat Muratoglu, Gulnara Batenova, Sharbanu Uisenbayeva, Yulia Semenova
    Russian Open Medical Journal.2021;[Epub]     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health