Pharmaceutical Division, Data Sciences, Hoffmann-La Roche AG, Basel, Switzerland.
Statistics and Data Insights, Bayer AG and Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, Saarbrücken, Germany.
Pharm Stat. 2021 Nov;20(6):1002-1016. doi: 10.1002/pst.2120. Epub 2021 Apr 27.
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.
随着越来越多的临床数据在临床研究之外被捕获,以及更多的临床研究数据被共享,外部对照可能成为替代随机临床试验(RCT)的更有吸引力的选择。行业和监管机构都认识到,在无法进行随机研究的情况下,外部对照可以提供所需的背景信息,以便在没有随机对照的情况下更好地解释研究结果。此外,也一致认为外部对照不会完全取代 RCT 作为药物开发中正式证明疗效的金标准,以及临床研究的基准。然而,在哪些情况下可以可靠地基于使用外部对照得出关于疗效和积极的获益/风险的结论,目前仍不清楚。本文将概述外部对照的类型、它们的应用以及它们的使用可能带来的不同类型的偏倚,并讨论潜在的缓解措施。还将就如何证明外部对照的使用合理性提出建议。