使用灵敏度分析来评估观察性,活性比较药物流行病学研究中的未测量变量的不受控制的混:系统性审查
Chase D Latour1,2, Megan Delgado1, I-Hsuan Su1
1Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
American journal of epidemiology
|August 4, 2024
概括
研究人员经常承认药物研究中的混,但很少使用灵敏度分析来解决它. 这一审查强调了需要严格评估在现实世界证据生成中不受控制的混的需要.
科学领域:
- 药学流行病学 药学流行病学
- 现实世界的证据生成.
- 生物统计学 生物统计学
背景情况:
- 在现实世界证据 (RWE) 研究中,不受控制的混是一个关键问题.
- 敏感性分析对于评估电缆电路对残留混的稳定性至关重要.
- 目前关于使用这些敏感性分析的做法没有得到充分的记录.
研究的目的:
- 系统地审查在已发表的活性比较药物研究中对不受控制的混的敏感性分析的使用情况.
- 确定用于评估未测量变量的不受控制的混的常用方法.
主要方法:
- 对药物或生物制剂的活性比较器队列研究进行系统审查.
- 从2017年1月到2022年6月的医学和流行病学期刊进行了搜索.
- 分析了158项研究,提到和实施了对不受控制的混的敏感性分析.
主要成果:
- 在158项审查的研究中,有93%的研究指出,不受控制的混是一个令人担忧的问题.
- 只有53%的研究实施了至少一个对不受控制的混的敏感性分析.
- 电子值在医学期刊中最常见 (21%),而对测量变量的限制在流行病学期刊中最常见 (22%).
结论:
- 在承认不受控制的混和在药物流行病学中使用敏感性分析进行严格评估之间存在很大的差距.
- 研究人员应优先使用适当的灵敏度分析,以解决RWE中未测量的变量带来的潜在偏差.
- 标准化和促进敏感性分析的使用将提高从观察性研究中估计药物效应的可靠性.
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