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

Medicine (Baltimore). 2016 Jan;95(2):e2447. doi: 10.1097/MD.0000000000002447.

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.

Publication types

  • Meta-Analysis
  • Review

MeSH terms

  • Case-Control Studies
  • Cohort Studies
  • Evidence-Based Medicine
  • Female
  • Glioma / etiology*
  • Glioma / mortality*
  • Glioma / physiopathology
  • Humans
  • Male
  • Observational Studies as Topic
  • Prognosis
  • Risk Assessment
  • Smoking / adverse effects*
  • Smoking / mortality
  • Smoking / physiopathology
  • Survival Analysis