Yabo Wang1, Xiaqing Guo1. 1. Department of Neurology, Huaihe Hospital, Henan University, Kaifeng 475000, PR China.
Abstract
OBJECTIVE: The purpose of this study was to evaluate the association between mobile phone use and glioma risk through pooling the published data. METHODS: By searching Medline, EMBSE, and CNKI databases, we screened the open published case-control or cohort studies about mobile phone use and glioma risk by systematic searching strategy. The pooled odds of mobile use in glioma patients versus healthy controls were calculated by meta-analysis method. The statistical analysis was done by Stata12.0 software (http://www.stata.com). RESULTS: After searching the Medline, EMBSE, and CNKI databases, we ultimately included 11 studies range from 2001 to 2008. For ≥1 year group, the data were pooled by random effects model. The combined data showed that there was no association between mobile phone use and glioma odds ratio (OR) =1.08 (95% confidence interval [CI]: 0.91-1.25,P > 0.05). However, a significant association was found between mobile phone use more than 5 years and glioma risk OR = 1.35 (95% CI: 1.09-1.62, P < 0.05). The publication bias of this study was evaluated by funnel plot and line regression test. The funnel plot and line regression test (t = 0.25,P = 0.81) did not indicate any publication bias. CONCLUSION: Long-term mobile phone use may increase the risk of developing glioma according to this meta-analysis.
OBJECTIVE: The purpose of this study was to evaluate the association between mobile phone use and glioma risk through pooling the published data. METHODS: By searching Medline, EMBSE, and CNKI databases, we screened the open published case-control or cohort studies about mobile phone use and glioma risk by systematic searching strategy. The pooled odds of mobile use in gliomapatients versus healthy controls were calculated by meta-analysis method. The statistical analysis was done by Stata12.0 software (http://www.stata.com). RESULTS: After searching the Medline, EMBSE, and CNKI databases, we ultimately included 11 studies range from 2001 to 2008. For ≥1 year group, the data were pooled by random effects model. The combined data showed that there was no association between mobile phone use and glioma odds ratio (OR) =1.08 (95% confidence interval [CI]: 0.91-1.25,P > 0.05). However, a significant association was found between mobile phone use more than 5 years and glioma risk OR = 1.35 (95% CI: 1.09-1.62, P < 0.05). The publication bias of this study was evaluated by funnel plot and line regression test. The funnel plot and line regression test (t = 0.25,P = 0.81) did not indicate any publication bias. CONCLUSION: Long-term mobile phone use may increase the risk of developing glioma according to this meta-analysis.
Authors: Yoon-Jung Choi; Joel M Moskowitz; Seung-Kwon Myung; Yi-Ryoung Lee; Yun-Chul Hong Journal: Int J Environ Res Public Health Date: 2020-11-02 Impact factor: 3.390