Meta-analyses in environmental and occupational health

被引:6
|
作者
Ioannidis, John P. A. [1 ,2 ,3 ,4 ]
机构
[1] Stanford Univ, Dept Med, Sch Med, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Hlth Res & Policy, Sch Med, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Stat, Sch Humanities & Sci, Stanford, CA 94305 USA
[4] Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA
关键词
meta-analysis; SYSTEMATIC REVIEWS; MASS-PRODUCTION;
D O I
10.1136/oemed-2016-104128
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
ObjectivesMeta-analyses are considered generally as the highest level of evidence, but concerns have been voiced about their massive, low-quality production. This paper aimed to evaluate the landscape of meta-analyses in the field of occupational and environmental health and medicine.MethodsUsing relevant search terms, all meta-analyses were searched for, but those published in 2015 were assessed for their origin, whether they included randomised trials and individual-level data and whether they had authors from the industry or consultancy firms.ResultsPubMed searches (last update February 2017) identified 1251 eligible meta-analyses in this field. There was a rapid increase over time (n=16 published in 1995 vs n=163 published in 2015). Of the 163 eligible meta-analyses published in 2015, 49 were from China, followed at a distance by the USA (n=19). Only 16 considered randomised (intervention) trials and 13 included individual-level data. Only 1 of the 150 meta-analyses had industry authors and none had consultancy firm authors. As an example of conflicting findings, 12 overlapping meta-analyses addressed mobile phones and brain cancer risk and they differed substantially in number of studies included, eligibility criteria and conclusions.ConclusionsThere has been a major increase in the publication of meta-analyses in occupational and environmental health over time, with the majority of these studies focusing on observational data, while a commendable fraction used individual-level data. Authorship is still limited largely to academic and non-profit authors. With massive production of meta-analyses, redundancy needs to be anticipated and efforts should be made to safeguard quality and protect from bias.
引用
收藏
页码:443 / 445
页数:3
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