随机对照试验
临床试验
风险分析(工程)
外部有效性
控制(管理)
医学
计算机科学
医学物理学
重症监护医学
心理学
外科
人工智能
社会心理学
病理
作者
Hans Ulrich Burger,Christoph Gerlinger,Chris Harbron,Armin Koch,Martin Posch,Justine Rochon,Anja Schiel
摘要
With more and better clinical data being captured outside of clinical studies and greater data sharing of clinical studies, external controls may become a more attractive alternative to randomized clinical trials (RCTs). Both industry and regulators recognize that in situations where a randomized study cannot be performed, external controls can provide the needed contextualization to allow a better interpretation of studies without a randomized control. It is also agreed that external controls will not fully replace RCTs as the gold standard for formal proof of efficacy in drug development and the yardstick of clinical research. However, it remains unclear in which situations conclusions about efficacy and a positive benefit/risk can reliably be based on the use of an external control. This paper will provide an overview on types of external control, their applications and the different sources of bias their use may incur, and discuss potential mitigation steps. It will also give recommendations on how the use of external controls can be justified.
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