Smoking and Glioma Risk: Evidence From a Meta-Analysis of 25 Observational Studies.

Medicine
Chuan ShaoJiaquan He

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.

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Citations

Jan 29, 2019·International Urology and Nephrology·Sibei TaoPing Fu
Jul 14, 2019·Neuro-oncology·Quinn T OstromMelissa L Bondy
Nov 30, 2018·Frontiers in Genetics·Amy Elizabeth HowellKathreena M Kurian
Jan 10, 2019·Medicina·Dharam Persaud-SharmaJuan Manuel Lozano
Dec 5, 2020·Pharmacological Research : the Official Journal of the Italian Pharmacological Society·Susanna PucciCecilia Gotti

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