J Med Libr Assoc. 2021 Jan 1;109(1):23-32. doi: 10.5195/jmla.2021.939.
This study retroactively investigated the search used in a 2019 review by Hayden et al., one of the first systematic reviews of prognostic factors that was published in the Cochrane Library. The review was designed to address recognized weaknesses in reviews of prognosis by using multiple supplementary search methods in addition to traditional electronic database searching.
The authors used four approaches to comprehensively assess aspects of systematic review literature searching for prognostic factor studies: (1) comparison of search recall of broad versus focused electronic search strategies, (2) linking of search methods of origin for eligible studies, (3) analysis of impact of supplementary search methods on meta-analysis conclusions, and (4) analysis of prognosis filter performance.
The review's focused electronic search strategy resulted in a 91% reduction in recall, compared to a broader version. Had the team relied on the focused search strategy without using supplementary search methods, they would have missed 23 of 58 eligible studies that were indexed in MEDLINE; additionally, the number of included studies in 2 of the review's primary outcome meta-analyses would have changed. Using a broader strategy without supplementary searches would still have missed 5 studies. The prognosis filter used in the review demonstrated the highest sensitivity of any of the filters tested.
Our study results support recommendations for supplementary search methods made by prominent systematic review methodologists. Leaving out any supplemental search methods would have resulted in missed studies, and these omissions would not have been prevented by using a broader search strategy or any of the other prognosis filters tested.
本研究追溯性地调查了 Hayden 等人在 2019 年进行的一项综述中使用的检索方法,该综述是发表在 Cochrane 图书馆的首批预后因素系统评价之一。该综述旨在通过除传统电子数据库检索外,还使用多种补充检索方法来解决预后评价中的公认弱点。
作者采用了四种方法全面评估预后因素研究系统评价文献检索的各个方面:(1)比较广泛与聚焦电子检索策略的检索召回率,(2)将合格研究的检索方法进行链接,(3)分析补充检索方法对荟萃分析结论的影响,以及(4)分析预后过滤器性能。
与更广泛的版本相比,该综述的聚焦电子检索策略的召回率降低了 91%。如果该团队仅依赖聚焦搜索策略而不使用补充检索方法,他们将错过 MEDLINE 中索引的 58 项合格研究中的 23 项;此外,该综述的 2 项主要结局荟萃分析的纳入研究数量将会改变。不使用补充检索而使用更广泛的策略仍然会错过 5 项研究。该综述中使用的预后过滤器在测试的所有过滤器中表现出最高的敏感性。
我们的研究结果支持知名系统评价方法学家对补充检索方法的建议。遗漏任何补充检索方法都会导致遗漏研究,而使用更广泛的检索策略或任何其他测试的预后过滤器都无法避免这些遗漏。