将随机对照试验的搜索过器与Covidence的Cochrane RCT分类器相结合:一种方法验证研究
1https://ror.org/04507cg26Swedish Agency for Health Technology Assessment and Assessment of Social Services (SBU), Stockholm, Sweden.
Research synthesis methods
|February 2, 2026
概括
柯克伦RCT分类器为识别随机对照试验 (RCT) 提供了更高的回忆力,但增加了读取 (NNR) 所需的数量. 将其与现有的搜索过器相结合,可以优化结果,平衡回忆和工作负载.
科学领域:
- 信息科学 信息科学 信息科学
- 卫生技术评估 卫生技术评估
- 医疗信息学 医疗信息学
背景情况:
- 系统性审查依赖于准确识别随机对照试验 (RCT).
- 建立了对Ovid MEDLINE和Embase.com等数据库的搜索过器,有助于RCT检索.
- 柯克伦RCT分类器是用于在文献搜索中识别RCT的新工具.
研究的目的:
- 将Cochrane RCT分类器的回忆和读取所需数 (NNR) 与已有的搜索过器进行比较.
- 评估Cochrane RCT分类器单独和与现有过器相结合的性能.
- 评估这些工具对搜索结果和卫生技术评估工作量的影响.
主要方法:
- 一套1103个RCT的黄金标准被选中用于绩效评估.
- 在Cochrane RCT分类器 (Covidence),Ovid MEDLINE波器和Embase波器中计算了回忆和NNR.
- 使用卫生技术评估报告的三个案例研究验证了这些工具对搜索结果和NNR的影响.
主要成果:
- 科克兰RCT分类器显示了最高的召回率 (99.64%),其次是Ovid MEDLINE (98.73%) 和Embase (98.46%) 过器.
- 与单独使用的过器相比,Cochrane RCT分类器的结果是更高的NNR.
- 将Cochrane RCT分类器与现有过器相结合,可以减少NNR,同时保持高回忆率 (Ovid: 98.46%,Embase: 98.28%).
结论:
- 科克兰RCT分类器在回忆方面表现出色,但增加了无关记录的数量,可能增加选工作量.
- 单独使用Cochrane RCT分类器而不是当前的过器可能会增加工作量.
- 一种混合方法,将Cochrane RCT分类器与已建立的RCT过器相结合,提供了一个实用的解决方案,以平衡高回忆率与可管理的NNR.
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