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估算伞式综述中的成对重叠:使用校正涵盖面积(CCA)指数方法的考虑因素。

Estimating pairwise overlap in umbrella reviews: Considerations for using the corrected covered area (CCA) index methodology.

机构信息

Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Solna, Sweden.

School of Health and Welfare, Dalarna University, Falun, Sweden.

出版信息

Res Synth Methods. 2023 Sep;14(5):764-767. doi: 10.1002/jrsm.1658. Epub 2023 Jul 27.

DOI:10.1002/jrsm.1658
PMID:37501239
Abstract

Umbrella reviews (reviews of systematic reviews) are increasingly used to synthesize findings from systematic reviews. One important challenge when pooling data from several systematic reviews is publication overlap, that is, the same primary publications being included in multiple reviews. Pieper et al. have proposed using the corrected covered area (CCA) index to quantify the degree of overlap between systematic reviews to be pooled in an umbrella review. Recently, this methodology has been integrated in Excel- or R-based tools for easier use. In this short letter, we highlight an important consideration for using the CCA methodology for pairwise overlap assessment, especially when reviews include varying numbers of primary publications, and we urge researchers to fine-tune this method and exercise caution when review exclusion decisions are based on its output.

摘要

伞状评价(系统评价的综合评价)越来越多地被用于综合系统评价的结果。在从几个系统评价中汇总数据时,一个重要的挑战是文献重叠,即相同的原始出版物被包含在多个评价中。Pieper 等人提出使用校正涵盖面积(CCA)指数来量化要在伞状评价中汇总的系统评价之间的重叠程度。最近,这种方法已经集成到基于 Excel 或 R 的工具中,以便更方便地使用。在这封简短的信件中,我们强调了在使用 CCA 方法进行成对重叠评估时需要注意的一个重要问题,特别是当评价包含不同数量的原始出版物时,我们敦促研究人员对该方法进行微调,并在基于其输出进行评价排除决策时保持谨慎。

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