title: Smoking and Glioma Risk: Evidence From a Meta-Analysis of 25 Observational Studies.
abstract: To systematically assess the relationship between smoking and glioma risk.A dose-response meta-analysis of case-control and cohort studies was performed. Pertinent studies were identified by searching database and reference lists. Random-effects model was employed to pool the estimates of the relative risks (RRs) with corresponding 95% confidence intervals (CIs).A total of 19 case-control and 6 cohort studies were included. Overall, compared with those who never smoked, the pooled RR and 95% CI was 0.98 (0.92-1.05) for ever smoker. The subgroups were not significantly different regarding risk of glioma except the group of age at start smoking (RR = 1.17, 95% CI: 0.93-1.48 for age < 20; RR = 1.25, 95% CI: 1.02-1.52 for age ≥ 20). Dose-response analysis also suggested no significant association between smoking and the risk of glioma, although some evidence for a linear relationship between smoking and glioma risk was observed.In conclusion, this meta-analysis provides little support for a causal relationship between smoking and risk of glioma.
authors.affiliation: From the Department of Neurosurgery, The Second Clinical Medical College of North Sichuan Medical College, Nanchong, Sichuan, China (CS, WZ, JH); and Department of Neurosurgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China (ZQ).
authors.forename: Chuan
authors.initials: C
authors.lastname: Shao
authors.forename: Wei
authors.initials: W
authors.lastname: Zhao
authors.forename: Zhenyu
authors.initials: Z
authors.lastname: Qi
authors.forename: Jiaquan
authors.initials: J
authors.lastname: He
mesh_terms: D016022:Case-Control Studies; D015331:Cohort Studies; D019317:Evidence-Based Medicine; D005260:Female; D005910:Glioma / Q000209:etiology* / Q000401:mortality* / Q000503:physiopathology; D006801:Humans; D008297:Male; D064887:Observational Studies as Topic; D011379:Prognosis; D018570:Risk Assessment; D012907:Smoking / Q000009:adverse effects* / Q000401:mortality / Q000503:physiopathology; D016019:Survival Analysis