Discrepancies in meta-analyses answering the same clinical question were hard to explain: a meta-epidemiological study

被引:26
作者
Hacke, Claudia [1 ,2 ]
Nunan, David [3 ]
机构
[1] Univ Med Ctr Schleswig Holstein, Dept Pediat 1, Campus Kiel,Arnold Heller Str 3, D-24105 Kiel, Germany
[2] Christian Albrechts Univ Kiel, Inst Sports Sci, Olshausenstr 74, D-24118 Kiel, Germany
[3] Univ Oxford, Ctr Evidence Based Med, Nuffield Dept Primary Care Hlth Sci, Radcliffe Observ Quarter, Woodstock Rd, Oxford OX2 6GG, England
关键词
Systematic review; Meta-analysis; Matched-pair analysis; Discrepancies; Methodological quality; Cochrane review; Non-Cochrane review; SYSTEMATIC REVIEWS; COCHRANE REVIEWS; QUALITY;
D O I
10.1016/j.jclinepi.2019.11.015
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
100404 [儿少卫生与妇幼保健学];
摘要
Objectives: To systematically explore the methodological factors underpinning discrepancies in the pooled effect estimates from Cochrane reviews (CRs) and non-Cochrane reviews (NCRs) systematic reviews, answering the same clinical question. Study Design and Setting: Quantitative and qualitative analysis of concordance in effect estimates between meta-analyses from CR and NCR matched on population, intervention, condition, and outcome. Results: We identified 24 matched meta-analyses from 24 CR to 20 NCR reviews (545 randomized controlled trials [RCTs]). Compared to their CR matched-pair, pooled effects from NCR were the same in only one pair, were on average 0.12 log units (13%) higher (P = 0.012), and had a greater than twofold larger effect size in four matched-pairs. Two-thirds of CR (15/24, 70.8%) and 0/20 (0%) NCR were rated to have moderate to high confidence in their results (AMSTAR 2). Differences in pre-defined methods, including search strategy, eligibility criteria, and performance of dual screening, could explain mismatches in included studies. Disagreements in the interpretation of eligibility criteria were identified as reasons underpinning discrepant findings in 14 pairs. 23/24 meta-analyses included at least one study of its match. Only two pairs agreed on the numerical data presented for the same studies. An assessment of 50% of discrepant studies (n = 45) showed that reasons for differences in extracted data could be identified in 15 studies. Conclusion: On average, meta-analyses from NCR reported higher effect estimates compared with meta-analyses from CR answering the same clinical question. Methodological and author judgments and performance are key aspects underpinning poor overlap of included studies and discrepancies in reported effect estimates. The potential impacts on health care policy and clinical practice are far-reaching but still remain unknown. Reinforcing awareness and scrutiny of application of reporting guidelines and improvements in protocol registration are needed. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:47 / 56
页数:10
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