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手机使用与胶质瘤风险之间关联的荟萃分析。

Meta-analysis of association between mobile phone use and glioma risk.

作者信息

Wang Yabo, Guo Xiaqing

机构信息

Department of Neurology, Huaihe Hospital, Henan University, Kaifeng 475000, PR China.

出版信息

J Cancer Res Ther. 2016 Dec;12(Supplement):C298-C300. doi: 10.4103/0973-1482.200759.

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.

摘要

目的

本研究旨在通过汇总已发表的数据来评估手机使用与胶质瘤风险之间的关联。

方法

通过检索Medline、EMBSE和CNKI数据库,我们采用系统检索策略筛选了关于手机使用与胶质瘤风险的公开发表的病例对照或队列研究。采用荟萃分析方法计算胶质瘤患者与健康对照中使用手机的合并比值比。使用Stata12.0软件(http://www.stata.com)进行统计分析。

结果

在检索Medline、EMBSE和CNKI数据库后,我们最终纳入了2001年至2008年的11项研究。对于使用时间≥1年的组,数据采用随机效应模型进行汇总。合并数据显示,手机使用与胶质瘤比值比(OR)之间无关联(OR = 1.08,95%置信区间[CI]:0.91 - 1.25,P > 0.05)。然而,发现使用手机超过5年与胶质瘤风险之间存在显著关联(OR = 1.35,95% CI:1.09 - 1.62,P < 0.05)。通过漏斗图和线性回归检验评估了本研究的发表偏倚。漏斗图和线性回归检验(t = 0.25,P = 0.81)未显示任何发表偏倚。

结论

根据这项荟萃分析,长期使用手机可能会增加患胶质瘤的风险。

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