School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, G/F, Patrick Manson Building (North Wing), 7 Sassoon Road, Pokfulam, Hong Kong.
Department of Chronic Disease Epidemiology, Yale School of Public Health, Laboratory of Epidemiology and Public Health, 60 College St., New Haven, CT, CT 06510, United States.
Cancer Epidemiol. 2019 Oct;62:101577. doi: 10.1016/j.canep.2019.101577. Epub 2019 Aug 1.
Mendelian randomization (MR) analyses have been increasingly used to seek evidence of causal associations. This systematic review aims at characterizing and evaluating the reporting of MR analyses in oncological studies.
The PubMed database was searched to identify MR cancer studies until December 31, 2017. Two of the authors independently selected and evaluated reporting quality of the studies. Reporting quality in MR studies before 2016 and in 2016/17 was compared.
Cancer studies with MR analyses in 2016 and 2017 accounted for 55.8% of the total number of studies identified. In the 77 eligible articles, 39 (50.6%) did not report subjects' characteristics, 53 (68.8%) did not conduct power estimation, 40 (51.9%) did not state all of the first three MR assumptions (i.e., genetic instrument is associated with exposure, is not associated with confounders, and acts on outcome only through exposure), and 31 (40.3%) did not exclude SNPs that diverged from Hardy-Weinberg equilibrium. More studies estimated power in 2016/2017 than before 2016 (p = 0.028).
Some MR cancer studies did not sufficiently report essential information, posing obstacles for critical appraisal. This study proposes for MR analysis a guideline/checklist for future publications in cancer and other biomedical research.
孟德尔随机化(MR)分析已越来越多地用于寻找因果关联的证据。本系统评价旨在描述和评估肿瘤学研究中 MR 分析的报告情况。
检索 PubMed 数据库以确定截至 2017 年 12 月 31 日的 MR 癌症研究。两位作者独立选择并评估了研究的报告质量。比较了 2016 年之前和 2016/17 年 MR 研究的报告质量。
2016 年和 2017 年进行 MR 分析的癌症研究占所确定研究总数的 55.8%。在 77 篇合格文章中,39 篇(50.6%)未报告受试者特征,53 篇(68.8%)未进行功效估计,40 篇(51.9%)未说明前三个 MR 假设的所有内容(即遗传工具与暴露相关,与混杂因素无关,并且仅通过暴露作用于结局),31 篇(40.3%)未排除偏离 Hardy-Weinberg 平衡的 SNPs。2016/2017 年进行功效估计的研究多于 2016 年之前(p=0.028)。
一些 MR 癌症研究没有充分报告重要信息,为批判性评价带来障碍。本研究为癌症和其他生物医学研究中的 MR 分析提出了未来出版物的指南/检查表。