在老年医学中进行三级证据合成的雨合作的验证:混合方法研究研究
Beltran Carrillo1, Marta Rubinos-Cuadrado1, Jazmin Parellada1
1The Umbrella Collaboration, C/ Ferraz, 49, Madrid, 28008, Spain, 34 637016776.
JMIR formative research
|July 8, 2025
概括
雨协作 (TU) 有效地综合了三级证据,比具有可比结果的传统雨审查 (TUR) 识别了更多的结果. 这种人工智能辅助的方法为证据合成提供了更快,更全面的方法.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
- 基于证据的医学基于证据的医学.
背景情况:
- 第三级证据综合对于医疗保健决策和政策的制定至关重要.
- 传统的总体审查 (TUR) 是当前的标准,但可能耗时.
- 雨协作 (TU) 是一种创新的,半自动化的第三级证据合成方法.
研究的目的:
- 为了验证合作 (TU) 方法论与传统的审查 (TUR) 相比.
- 评估TU是否实现了与TUR相比的有效性,同时更及时,更有效,更全面.
- 评估TU人工智能辅助的软件驱动的证据合成方法.
主要方法:
- 一项比较性研究将8项传统的总体审查 (TUR) 与在老年医学中使用The Umbrella Collaboration (TU) 的并行项目相匹配.
- 系统地比较了利益结果,效果大小,确定性评级和执行时间.
- 统计分析包括千平方测试和斯皮尔曼相关性,以比较定量和定性指标.
主要成果:
- TU复制了来自 TUR 的 85% 的结果,并确定了 4.77 倍多的额外结果.
- 效果大小分类显示出94%的一致性,与中度关联 (克拉梅尔V=0.339).
- TU项目平均耗时4小时46分钟,比TUR估计的6-12个月要快得多.
结论:
- 雨协作 (TU) 与传统的雨审查 (TUR) 具有很高的一致性,证实了其有效性.
- TU显著增加了识别结果的数量,并大大减少了合成时间.
- TU为三级证据综合提供了一个有效,高效,可扩展和节省时间的替代方案,特别是在需要快速结果时.
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