Huang Yafang, Tang Jinling, Tam Wilson Wai-San, Mao Chen, Yuan Jinqiu, Di Mengyang, Yang Zuyao
From the School of General Practice and Continuing Education, Capital Medical University (YH), Beijing, China; Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore (WW-ST), Singapore; and Division of Epidemiology, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong (JT, CM, JY, MD, ZY, YH), Hong Kong SAR, China.
Medicine (Baltimore). 2016 Apr;95(14):e3312. doi: 10.1097/MD.0000000000003312.
The aim of the study was to examine how well aggregate data meta-analyses (ADMAs) and individual patient data meta-analyses (IPDMAs) agree in their overall results and how frequently interactions are detected in IPDMAs and ADMAs.ADMA articles immediately published before the IPDMA and matching the research topic were identified. Agreement in the overall result was achieved if the estimate was in the same direction. The number of subgroup analyses, in particular that of significant interactions, was compared between the 2 types of meta-analyses.A total of 829 IPDMA articles were identified; 129 (15.6%) were found to have a matched ADMA article and 204 paired meta-analyses were identified. Agreement in the overall effect was observed in 187 (91.7%) of the 204 paired meta-analyses. Fifty-three (26.0%) ADMAs and 121 (59.3%) IPDMAs conducted subgroup analyses and presented 150 and 634 subgroup analyses, respectively. The IPDMAs conducted 7 times more subgroup analyses on interaction (544 in IPDMAs vs 68 in ADMAs) and identified 14 times more potential interactions (44 in IPDMAs vs 3 in ADMAs).ADMAs will almost always agree with their corresponding IPDMAs in the overall result if greater efforts are made to improve the methodology in conducting ADMAs. The IPDMA is required mostly if interactions are suspected.
本研究的目的是检验汇总数据荟萃分析（ADMA）和个体患者数据荟萃分析（IPDMA）在总体结果上的一致性程度，以及在IPDMA和ADMA中检测到相互作用的频率。确定了在IPDMA之前立即发表且与研究主题匹配的ADMA文章。如果估计值方向相同，则总体结果达成一致。比较了两种荟萃分析中进行亚组分析的数量，特别是显著相互作用的数量。共识别出829篇IPDMA文章；发现其中129篇（15.6%）有匹配的ADMA文章，并确定了204对荟萃分析。在204对荟萃分析中，有187对（91.7%）观察到总体效应一致。53篇（26.0%）ADMA和121篇（59.3%）IPDMA进行了亚组分析，分别呈现了150次和634次亚组分析。IPDMA进行的相互作用亚组分析次数是ADMA的7倍（IPDMA为544次，ADMA为68次），识别出的潜在相互作用次数是ADMA的14倍（IPDMA为44次，ADMA为3次）。如果在进行ADMA时更加努力改进方法，ADMA在总体结果上几乎总是会与其相应的IPDMA一致。如果怀疑存在相互作用，则大多需要进行IPDMA。
