Objective: To explore the predictive role of pretreatment albumin to globulin ratio (AGR) for prognosis in lung cancer. Methods: A comprehensive literature retrieval was performed in the PubMed, Cochrane Library, Web of Science and EMBASE databases up to May 20, 2019. The pooled hazard ratio (HR) and 95% confidence interval (CI) were applied to assess the correlation of pretreatment AGR with overall survival (OS) and disease-free survival (DFS). Sensitivity analysis was performed to assess the stability of results. Bess's funnel plot and Egger's test were conducted to detect potential publication bias. Results: Eight articles involving 3496 patients were included in our meta-analysis and all studies were from Asian countries. The results demonstrated that a low pretreatment AGR was significantly associated with poor OS (HR = 1.88, 95% CI: 1.49-2.38, P<0.001) and DFS (HR = 2.09, 95% CI: 1.56-2.81, P<0.001) and sensitivity analysis indicated the stability of above results. Publication bias test showed that there were two potentially unpublished articles, but they did not have a significant influence on the results of our meta-analysis. Conclusion: Our study manifested that pretreatment AGR was a reliable predictor for survival and it may contribute to the risk evaluation and therapy strategy formulation of lung cancer patients.
Objective: To explore the predictive role of pretreatment albumin to globulin ratio (AGR) for prognosis in lung cancer. Methods: A comprehensive literature retrieval was performed in the PubMed, Cochrane Library, Web of Science and EMBASE databases up to May 20, 2019. The pooled hazard ratio (HR) and 95% confidence interval (CI) were applied to assess the correlation of pretreatment AGR with overall survival (OS) and disease-free survival (DFS). Sensitivity analysis was performed to assess the stability of results. Bess's funnel plot and Egger's test were conducted to detect potential publication bias. Results: Eight articles involving 3496 patients were included in our meta-analysis and all studies were from Asian countries. The results demonstrated that a low pretreatment AGR was significantly associated with poor OS (HR = 1.88, 95% CI: 1.49-2.38, P<0.001) and DFS (HR = 2.09, 95% CI: 1.56-2.81, P<0.001) and sensitivity analysis indicated the stability of above results. Publication bias test showed that there were two potentially unpublished articles, but they did not have a significant influence on the results of our meta-analysis. Conclusion: Our study manifested that pretreatment AGR was a reliable predictor for survival and it may contribute to the risk evaluation and therapy strategy formulation of lung cancerpatients.
Authors: Fahad Quhal; Benjamin Pradere; Ekaterina Laukhtina; Reza Sari Motlagh; Hadi Mostafaei; Keiichiro Mori; Victor M Schuettfort; Pierre I Karakiewicz; Morgan Rouprêt; Dmitry Enikeev; Michael Rink; Mohammad Abufaraj; Shahrokh F Shariat Journal: World J Urol Date: 2021-01-26 Impact factor: 4.226
Authors: Zhuoyu Yang; Yadi Zheng; Zheng Wu; Yan Wen; Gang Wang; Shuohua Chen; Fengwei Tan; Jiang Li; Shouling Wu; Min Dai; Ni Li; Jie He Journal: Cancer Med Date: 2021-05-26 Impact factor: 4.452
Authors: Abdulmajeed Aydh; Keiichiro Mori; David D'Andrea; Reza Sari Motlagh; Mohammad Abufaraj; Benjamin Pradere; Hadi Mostafaei; Ekaterina Laukhtina; Fahad Quhal; Pierre I Karakiewicz; Stefano Luzzago; Alberto Briganti; Quoc-Dien Trinh; Mehdi Kardoust Parizi; Derya Tilki; Dmitry V Enikeev; Shahrokh F Shariat Journal: Int J Clin Oncol Date: 2021-06-28 Impact factor: 3.402