Wireless Phone Use and Risk of Adult Glioma: Evidence from a Meta-Analysis

World Neurosurg. 2018 Jul;115:e629-e636. doi: 10.1016/j.wneu.2018.04.122. Epub 2018 Apr 28.


Background: Wireless phone use has been increasing rapidly and is associated with the risk of glioma. Many studies have been conducted on this association without reaching agreement. The aim of this meta-analysis was to determine the possible association between wireless phone use and risk of adult glioma.

Methods: Eligible studies were identified by searching PubMed and Embase up to July 2017. Random-effects or fixed-effects model was used to combine the results depending on the heterogeneity of the analysis. Publication bias was evaluated using Begg's funnel plot and Egger's regression asymmetry test. Subgroup analysis was performed to evaluate possible influence of these variables.

Results: Ten studies on the association of wireless phone use and risk of glioma were included. The combined odds ratio of adult gliomas associated with ever use of wireless phones was 1.03 (95% confidence interval [CI], 0.92-1.16) with high heterogeneity (I2 = 54.2%, P = 0.013). In subgroup analyses, no significant association was found between tumor location in the temporal lobe and adult glioma risk, with odds ratios of 1.26 (95% CI, 0.87-1.84), 0.93 (95% CI, 0.69-1.24), and 1.61 (95% CI, 0.78-3.33). A significant association with risk of glioma was found in long-term users (≥10 years) with odds ratio of 1.33 (95% CI, 1.05-1.67).

Conclusions: Ever use of wireless phones was not significantly associated with risk of adult glioma, but there could be increased risk in long-term users.

Keywords: Cell phone; Glioma; Meta-analysis; Mobile phone; Wireless phone use.

Publication types

  • Meta-Analysis

MeSH terms

  • Adult
  • Brain Neoplasms / diagnosis
  • Brain Neoplasms / epidemiology*
  • Case-Control Studies
  • Cell Phone / trends*
  • Electromagnetic Fields / adverse effects*
  • Glioma / diagnosis
  • Glioma / epidemiology*
  • Humans
  • Publication Bias / trends
  • Risk Factors
  • Temporal Lobe
  • Time Factors