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药物和非药物干预措施系统评价中检索临床试验注册库的影响:荟萃分析再分析。

Impact of searching clinical trials registers in systematic reviews of pharmaceutical and non-pharmaceutical interventions: Reanalysis of meta-analyses.

机构信息

School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.

School of Medicine, Southeast University, Nanjing, China.

出版信息

Res Synth Methods. 2023 Jan;14(1):52-67. doi: 10.1002/jrsm.1583. Epub 2022 Jul 28.

Abstract

Systematic reviewers are advised to search trials registers to minimise risk of reporting biases. However, there has been little research on the impact of searching trials registers on the results of meta-analyses. We aimed to evaluate the impact of searching clinical trials registers for systematic reviews of pharmaceutical or non-pharmaceutical interventions. We searched PubMed, Scopus, Science Citation Index and Social Sciences Citation Index, and Education Collection for systematic reviews with meta-analyses indexed from 2 November to 2 December 2020. A random sample of systematic reviews was initially drawn, and for reviews which considered randomised trials eligible for inclusion, which had not searched a trials register, we searched ClinicalTrials.gov, EudraCT, ANZCTR, and the WHO ICTRP search portal for eligible trials. We compared meta-analytic effect estimates before and after including results from additional trials identified. We found additional trials for 63% (63/101) of eligible reviews; however, trials with results that could contribute to a meta-analysis were identified for only 20% (20/101) of the reviews. On average, there was no difference in the meta-analytic effect estimates before versus after adding the new trials. In summary, searching clinical trial registers led to identification of additional trials for many reviews; however, very few trials had results available for inclusion in meta-analyses. Including results from the new trials led to no change in the meta-analytic estimates, on average. Trials registers would be even more valuable to systematic reviewers if more trialists made use of them (i.e., registered their trials and posted results in a timely manner).

摘要

系统评价者被建议检索试验注册库以最大程度地降低报告偏倚的风险。但是,关于检索试验注册库对荟萃分析结果的影响的研究很少。我们旨在评估检索临床试验注册库对药物或非药物干预的系统评价的影响。我们检索了 PubMed、Scopus、科学引文索引和社会科学引文索引以及教育资源集,以获取 2020 年 11 月 2 日至 12 月 2 日索引的系统评价和荟萃分析。最初抽取了系统评价的随机样本,对于考虑随机试验有资格纳入、但未检索试验注册库的系统评价,我们在 ClinicalTrials.gov、EudraCT、ANZCTR 和世界卫生组织国际临床试验注册平台检索合格试验。我们比较了纳入额外试验后的荟萃分析效应估计值。我们为 63%(63/101)符合条件的综述找到了额外的试验;然而,只有 20%(20/101)的综述找到了可以纳入荟萃分析的结果。平均而言,纳入新试验前后荟萃分析效应估计值没有差异。总之,检索临床试验注册库为许多综述找到了额外的试验;然而,只有很少的试验有结果可纳入荟萃分析。纳入新试验的结果平均上没有改变荟萃分析的估计值。如果更多的试验者利用试验注册库(即及时注册他们的试验并发布结果),那么试验注册库对系统评价者来说将更有价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4dc/10087877/46aad6e2bf2f/JRSM-14-52-g001.jpg

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