在干预措施的系统审查中,元分析结果的可复制性:元研究研究的研究
Phi-Yen Nguyen1, Joanne E McKenzie1, Zainab Alqaidoom1
1Methods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
BMJ medicine
|December 10, 2025
概括
当数据或代码共享时,元分析的可复制性很高. 公开这些材料可以提高未来的研究可靠性和系统审查的透明度.
科学领域:
- 超级研究的研究.
- 卫生科学 卫生科学 卫生科学
- 系统审查是系统的审查.
背景情况:
- 可复制性对于科学完整性至关重要.
- 分析综合证据,但其自身的可复制性尚未得到充分理解.
- 评估可复制性可以确保合成研究结果的可靠性.
研究的目的:
- 为了确定干预效应的元分析的可重复性.
- 评估数据和代码共享对元分析可重现性的影响.
- 确定影响成功复制元分析结果的因素.
主要方法:
- 一项元研究研究检查了296个系统性评论与元分析.
- 从作者那里请求原始数据文件和分析代码.
- 两位研究人员独立地复制了元分析,将可复制性定义为估计和置信区间的差异<10%.
主要成果:
- 在尝试复制的121个评论中,86%是完全可复制的.
- 只有22位作者提供数据或代码.
- 没有发现有意义的差异,改变了结果的解释.
结论:
- 当数据或代码可用或数据在审查中可访问时,元分析是可重现的.
- 数据和代码的有限共享阻碍了可重复性评估.
- 公共可用的数据和代码对于未来的可复制性研究和科学透明度至关重要.
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