进行系统综述的注意事项:评估各种自动参考文献删除方法性能的后续研究。

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Sandra McKeown, Zuhaib M. Mir
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引用次数: 0

摘要

通过搜索多种资源来查找符合研究综述要求的研究,可能会产生成百上千的重复参考文献,为了提高效率,应该在筛选过程之前将其删除。通过参考文献管理器和系统综述软件程序对重复参考文献自动删除方法的性能进行调查的研究可能会随着新版本和新程序的出现而很快过时。本后续研究考察了 EndNote 20、EndNote online classic、ProQuest RefWorks、Deduklick 和 Systematic Review Accelerator 的新 Deduplicator 工具中默认重复算法的性能。在大多数情况下,系统综述软件程序在重复参考文献时的表现都优于参考文献管理器。虽然成本和对机构访问的需求可能会限制研究人员使用一些自动方法来重复参考文献,但系统综述加速器的 Deduplicator 工具是免费使用的,其准确性和灵敏度都是最高的,同时还提供了用户调解功能来提高重复的特异性。进行综述的研究人员应考虑自动重复数据删除的性能,以及改进和优化其使用的方法,以帮助防止无意中删除符合条件的研究,并避免综述中可能出现的偏差。研究人员还应将其去重过程透明化,以帮助读者对其综述方法进行批判性评估,并遵守 PRISMA-S 扩展标准,以报告系统综述中的文献检索情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Considerations for conducting systematic reviews: A follow-up study to evaluate the performance of various automated methods for reference de-duplication

Considerations for conducting systematic reviews: A follow-up study to evaluate the performance of various automated methods for reference de-duplication

Searching multiple resources to locate eligible studies for research syntheses can result in hundreds to thousands of duplicate references that should be removed before the screening process for efficiency. Research investigating the performance of automated methods for deduplicating references via reference managers and systematic review software programs can become quickly outdated as new versions and programs become available. This follow-up study examined the performance of default de-duplication algorithms in EndNote 20, EndNote online classic, ProQuest RefWorks, Deduklick, and Systematic Review Accelerator's new Deduplicator tool. On most accounts, systematic review software programs outperformed reference managers when deduplicating references. While cost and the need for institutional access may restrict researchers from being able to utilize some automated methods for deduplicating references, Systematic Review Accelerator's Deduplicator tool is free to use and demonstrated the highest accuracy and sensitivity, while also offering user-mediation of detected duplicates to improve specificity. Researchers conducting syntheses should take automated de-duplication performance, and methods for improving and optimizing their use, into consideration to help prevent the unintentional removal of eligible studies and potential introduction of bias to syntheses. Researchers should also be transparent about their de-duplication process to help readers critically appraise their synthesis methods, and to comply with the PRISMA-S extension for reporting literature searches in systematic reviews.

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来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
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