关于Murad工具的相互共识协议的现实世界评估,用于评估案例报告和案例系列的方法质量
Moustafa Hegazi1,2, Samer Saadi1,2, Adel Kabbara Allababidi1,2
1Evidence-Based Practice Center, Mayo Clinic, Rochester, MN, USA.
JBI evidence synthesis
|December 19, 2025
概括
系统审查团队在使用Murad工具评估案例报告和系列时显示出高度一致. 这项研究证实了穆拉德的工具.
科学领域:
- 医学研究方法论医学研究方法论.
- 基于证据的医学是基于证据的医学.
- 系统审查是系统审查的过程.
背景情况:
- 评估案例报告和案例系列的方法质量存在挑战.
- 现有的工具旨在协助这种质量评估过程.
- 这项研究使用现有的系统性审查来调查穆拉德工具的评审者间可靠性.
研究的目的:
- 评估不同系统审查团队使用Murad工具做出的判断的同意率.
- 评估不同团队在Murad工具领域之间达成的共识协议.
主要方法:
- 通过回引用方法,使用穆拉德工具识别了系统性评论.
- 选择了包括多个系统审查小组评估的初级研究.
- 观察到的一致性和Gwet的一致系数是为每个信号问题计算的.
主要成果:
- 分析了81个重复的病例报告和系列,由多个团队进行评估.
- 对大多数信号问题 (5/8 > 75%) 发现了高度观察到的一致性.
- 对暴露确定 (0.959),结果确定 (0.829) 和报告清晰度 (0.755) 观察到最高的协议系数. 对于剂量-反应梯度,发现了完美的一致性.
结论:
- 穆拉德工具表明不同系统审查团队在评估案例系列和报告方面达成高度一致.
- 在系统性审查中利用重复研究是一种可行的方法,可以追溯评估工具可靠性.
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