在总体审查中估计双重重叠:使用修正覆盖面积 (CCA) 指数方法的考虑因素
Mariam Kirvalidze1, Ahmad Abbadi1, Lena Dahlberg1,2
1Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Solna, Sweden.
Research synthesis methods
|July 28, 2023
概括
总体评论综合了系统评论,但面临着出版重叠的挑战. 修正后的覆盖面积 (CCA) 指数有助于量化这一点,但研究人员应该仔细地应用它,特别是在不同出版物数量的情况下.
科学领域:
- 证据综合研究
- 系统审查方法论系统审查方法论
背景情况:
- 雨评论越来越多地被用来综合来自多个系统性评论的发现.
- 出版物重叠,主要研究包含在几个系统性审查中,在总体审查中提出了重大挑战.
- 修正后的覆盖面积指数 (CCA) 已被提议用于量化系统性审查之间的重叠.
研究的目的:
- 为了突出使用纠正覆盖面积 (CCA) 方法论在双重叠评估中的一个重要考虑因素.
- 为研究人员提供关于仔细应用CCA指数的建议,特别是当评论包含不同数量的主要出版物时.
主要方法:
- 讨论修正后的覆盖面积 (CCA) 指数,用于评估总体审查中的出版物重叠.
- 考虑在系统性审查中不同数量的初级出版物对CCA计算的影响.
- 审查集成CCA方法的现有工具 (基于Excel或R).
主要成果:
- 需要仔细考虑CCA方法,特别是当包括在总体审查中的系统性审查具有不同数量的主要出版物时.
- 突出了应用CCA指数进行双重重叠评估的潜在局限性和细微差别.
结论:
- 研究人员应该微调更正的覆盖面积 (CCA) 方法,以便在总体审查中准确评估出版物重叠.
- 在仅根据CCA输出做出审查排除决策时要谨慎,特别是在异质审查组合的情况下.
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