矩阵构造假设对概述中的定量重叠评估的影响:一项元研究研究
Javier Bracchiglione1,2,3, Nicolás Meza3,4, Dawid Pieper5,6
1Department of Pediatrics, Obstetrics and Gynecology, Preventive Medicine and Public Health, Universitat Autònoma de Barcelona, Spain.
Research synthesis methods
|February 4, 2026
概括
系统审查重叠的修正覆盖面积 (CCA) 度量根据矩阵构建假设大大变化. 作者应报告整体和对CCA,以确保证据综合的透明度和准确性.
科学领域:
- 证据综合 证据综合
- 卫生研究方法论 卫生研究方法论
背景情况:
- 主要研究的重叠是系统性审查 (SR) 和证据综述中的一个重大挑战.
- 修正后的覆盖面积 (CCA) 使用证据矩阵量化了这种重叠,但其计算对基本假设敏感.
研究的目的:
- 调查构建证据矩阵的不同假设如何影响纠正覆盖面积 (CCA) 计算.
- 在以干预为重点的概述中,根据矩阵构造选择评估CCA值的变化.
主要方法:
- 搜索了2023年发布的针对干预的综述的数据库.
- 提取的概述特征和重叠处理方法.
- 针对7个采样概述的16个场景计算了整体和对应的CCA,变化了四个矩阵构造假设.
主要成果:
- 仅有11.9%的综述遵循报告准则;44.0%没有解决重叠问题.
- 根据矩阵假设,CCA值在很大程度上有所不同,从1.2%到13.5% (总体) 和0.0%到15.7% (对对) 之间.
- 变化源于关于范围,缺失数据和出版线程的假设.
结论:
- 由于计算的可变性,目前CCA值的非关键性使用是值得怀疑的.
- 概述作者应报告整体和对对CCA.
- 对矩阵构造假设的透明报告对于CCA评估的准确性和可重复性至关重要.
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