The role of metformin on lung cancer survival: the first systematic review and meta-analysis of observational studies and randomized clinical trials

Author(s):  
Suzan Brancher ◽  
Ana Elisa Ribeiro ◽  
Tatiana Natasha Toporcov ◽  
Elisabete Weiderpass
Nutrients ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1924 ◽  
Author(s):  
Lindsay Kohler ◽  
Janet Foote ◽  
Connor Kelley ◽  
Ana Florea ◽  
Colleen Shelly ◽  
...  

Several studies have investigated the potential role of selenium (Se) in the development of type 2 diabetes (T2D) with disparate findings. We conducted a systematic review and meta-analysis to synthesize the evidence of any association between Se and T2D. PubMed, Embase, and Scopus were searched following the Preferred Reporting Items for Systematic Reviews and Meta-analysis Approach (PRISMA). Sixteen studies from 15 papers met inclusion criteria defined for this review. Of the 13 observational studies included, 8 demonstrated a statistically significant positive association between concentrations of Se and odds for T2D, with odds ratios (95% confidence intervals) ranging from 1.52 (1.01–2.28) to 7.64 (3.34–17.46), and a summary odds ratio (OR) (95% confidence interval (CI)) of 2.03 (1.51–2.72). In contrast, among randomized clinical trials (RCTs) of Se, a higher risk of T2D was not observed for those who received Se compared to a placebo (OR = 1.18, 95% CI 0.95–1.47). Taken together, the results for the relationship between Se and T2D differ between observational studies and randomized clinical trials (RCTs). It remains unclear whether these differences are the result of uncontrolled confounding in the observational studies, or whether there is a modest effect of Se on the risk for T2D that may vary by duration of exposure. Further investigations on the effects of Se on glucose metabolism are needed.


2021 ◽  
Vol 12 ◽  
Author(s):  
Hao Hu ◽  
Zhi-Yong Xu ◽  
Qian Zhu ◽  
Xi Liu ◽  
Si-Cong Jiang ◽  
...  

BackgroundBrain metastases (BMs) indicate poor outcomes and are commonly excluded in immunotherapy clinical trials in advanced lung cancer; moreover, the effect of BM status on immunotherapy efficacy is inconsistent and inconclusive. Therefore, we conducted a meta-analysis to assess the influence of BM status on immunotherapy efficacy in advanced lung cancer.MethodsElectronic databases and all major conference proceedings were searched without language restrictions according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. We extracted randomized clinical trials on lung cancer immunotherapy that had available overall survival (OS) and/or progression-free survival (PFS) data based on the BM status. All analyses were performed using random effects models.ResultsFourteen randomized clinical trials with 9,089 patients were identified. Immunotherapy conferred a survival advantage to BM patients [OS-hazard ratio (HR), 0.72; 95% confidence interval (CI), 0.58–0.90; P = 0.004; and PFS-HR, 0.68; 95% CI, 0.52–0.87, P = 0.003]. Non-BM patients could also derive a survival benefit from immunotherapy (OS-HR, 0.76; 95% CI, 0.71–0.80; P <0.001; and PFS-HR, 0.68; 95% CI, 0.56–0.82, P <0.001). The pooled ratios of OS-HRs and PFS-HRs reported in BM patients versus non-BM patients were 0.96 (95% CI, 0.78–1.18; P = 0.72) and 0.97 (95% CI, 0.79–1.20; P = 0.78), respectively, indicating no statistically significant difference between them. Subsequent sensitivity analyses did not alter the results. Subgroup analyses according to tumor type, line of therapy, immunotherapy type, study design, and representation of BM patients reconfirmed these findings.ConclusionWe demonstrated that BM status did not significantly influence the immunotherapy efficacy in lung cancer, suggesting that both BM and non-BM patients could obtain comparable benefits.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier (CRD42020207446).


2018 ◽  
Vol 8 ◽  
Author(s):  
Isabelle Finke ◽  
Gundula Behrens ◽  
Linda Weisser ◽  
Hermann Brenner ◽  
Lina Jansen

2019 ◽  
Vol 141 ◽  
pp. 357-365 ◽  
Author(s):  
Yafei Chen ◽  
Xiaoli Li ◽  
Rui Zhang ◽  
Yuhong Xia ◽  
Zhuo Shao ◽  
...  

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