PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Preventive Medicine and Public Health10.3961/jpmph.17.0902019522140-144Estimating the Survival of Patients With Lung Cancer: What Is the Best Statistical Model?Siavosh Abedi, Ghasem Janbabaei, Mahdi Afshari, Mahmood Moosazadeh, Masoumeh Rashidi Alashti, Akbar Hedayatizadeh-Omran, Reza Alizadeh-Navaei, Ehsan Abedinihttp://jpmph.org/upload/pdf/jpmph-52-2-140.pdf, http://jpmph.org/journal/view.php?doi=10.3961/jpmph.17.090, http://www.jpmph.org/upload/pdf/jpmph-52-2-140.pdf
Lung Cancer10.1016/s0169-5002(21)00361-52021156S67The survival outcomes of patients with lung cancer managed as best supportive careLokYin Cheng, Ben Walters, Bravean Kulendrarajah, Shahul Leyakathali khanhttps://api.elsevier.com/content/article/PII:S0169500221003615?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0169500221003615?httpAccept=text/plain
Clinical Lung Cancer10.1016/j.cllc.2014.05.0012014155313-319ALK Inhibitors: What Is the Best Way to Treat Patients With ALK+ Non–Small-Cell Lung Cancer?Gouji Toyokawa, Takashi Setohttps://api.elsevier.com/content/article/PII:S1525730414001089?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1525730414001089?httpAccept=text/plain
Lung Cancer10.1016/s0169-5002(86)80417-2198621-2104Median survival: An original approach for long term survival in lung cancer patientshttps://api.elsevier.com/content/article/PII:S0169500286804172?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0169500286804172?httpAccept=text/plain
Lung Cancer10.1016/s0169-5002(19)30178-32019127S55-S56Estimating renal function in lung cancer patientsK. Gannon, S. Ballhttps://api.elsevier.com/content/article/PII:S0169500219301783?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0169500219301783?httpAccept=text/plain
Lung Cancer10.1016/0169-5002(95)96367-51995121-2135-136Prognostic factors for survival interminal lung cancer patientshttps://api.elsevier.com/content/article/PII:0169500295963675?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:0169500295963675?httpAccept=text/plain
European Journal of Cancer Supplements10.1016/s1359-6349(09)70884-52009722574267 What is the best way to follow-up lung cancer patients? Findings from a systematic review and the development of a new model of careL. Calman, K. Beaver, D. Hind, M. Lloyd-Joneshttps://api.elsevier.com/content/article/PII:S1359634909708845?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1359634909708845?httpAccept=text/plain
Lung Cancer10.1016/0169-5002(95)98819-v1995123287Survival analysis of untreated patients with non-small-cell lung cancerhttps://api.elsevier.com/content/article/PII:016950029598819V?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:016950029598819V?httpAccept=text/plain
Lung Cancer10.1016/0169-5002(94)94069-x19941177Long-time survival of patients with lung cancer before and after screeninghttps://api.elsevier.com/content/article/PII:016950029494069X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:016950029494069X?httpAccept=text/plain
OncoTargets and Therapy10.2147/ott.s2889282021Volume 141623-1631Estimating Survival in Patients with Non-Small-Cell Lung Cancer and Brain Metastases: A Verification of the Graded Prognostic Assessment for Lung Cancer Using Molecular Markers (Lung-molGPA)Ji Li, Wang Jing, Xiaoyang Zhai, Wenxiao Jia, Hui Zhu, Jinming Yuhttps://www.dovepress.com/getfile.php?fileID=67247, https://www.dovepress.com/getfile.php?fileID=67247