在已发表的元分析中,用于结合观察性研究和随机试验的合成方法
Cherifa Cheurfa1,2, Sofia Tsokani3, Katerina-Maria Kontouli3
1Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAe, Centre for Research in Epidemiology and Statistics (CRESS), Hôpital Hôtel Dieu, 1 Place du Parvis Notre-Dame, 75004, Paris, France. cherifa.cheurfa@gmail.com.
结合观察性研究 (OS) 和随机对照试验 (RCT) 的元分析往往缺乏对合成方法的详细报告. 解决操作系统的方法方面对于可靠的干预审查至关重要.
科学领域:
- 医学研究方法论医学研究方法论.
- 证据综合研究
- 生物统计学 生物统计学
背景情况:
- 在元分析中检查了合成方法,将观察性研究 (OS) 和随机对照试验 (RCT) 的数据汇集在一起.
- 专注于发表在高影响力期刊 (2015-2019) 中的干预措施的系统审查.
研究的目的:
- 检查在包括OS和RCT数据的元分析中使用的合成方法.
- 在这些元分析中确定与研究设计和统计模型相关的报告实践.
- 评估操作系统的方法和概念方面的考虑程度.
主要方法:
- 通过PubMed对2015年至2019年期间发表在高影响力期刊上的元分析进行了Medline的系统搜索.
- 研究包括元分析,汇集来自RCT和OS的数据.
- 数据提取的重点是合成方法,模型选择,效果估计报告以及研究设计和异质性的处理.
主要成果:
- 确定了132个元分析,中位数为14个研究 (6.5个OS,3个RCT).
- 在82%的分析中,操作系统的效果估计未被指明. 随机效应模型很常见 (55%),其中40%使用两种模型类型.
- 报告研究设计分层 (33%),混因素 (10%) 和OS特定的方法考虑通常是不够的.
结论:
- 虽然操作系统可以为干预元分析提供信息,但方法和概念方面的报道往往很差.
- 对OS方法的报告不足,有可能导致证据综合中的误导性发现.
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