将真实世界数据纳入临床试验:使用外部对照。

IF 1.1 Q4 PHARMACOLOGY & PHARMACY
Translational and Clinical Pharmacology Pub Date : 2022-09-01 Epub Date: 2022-09-15 DOI:10.12793/tcp.2022.30.e14
Tae-Eun Kim, Sang-In Park, Kwang-Hee Shin
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引用次数: 1

摘要

随着真实世界数据(RWD)越来越容易获得,处理RWD的方法也在不断发展,在药物开发和药物批准中使用RWD正在引起人们的兴趣。将RWD应用于临床试验的方法之一是使用外部对照,即单独建立的一组患者作为临床试验治疗组的对照组。虽然由于外部对照与实验组基线特征的差异,外部对照存在偏倚的可能,但选择合适的数据源,通过对数据的妥善处理,确保可比性,可以增加外部对照的效用,提高药物研发效率。本文讨论了与在临床试验中使用外部控制相关的几个主题,包括外部控制的定义、数据源的选择、确保可比性的策略、当前的监管环境和未来的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incorporation of real-world data to a clinical trial: use of external controls.

As real-world data (RWD) becomes more available and the methodology for handling RWD evolves, the use of RWD in drug development and drug approval is drawing interest. One of the ways RWD can be applied to a clinical trial is using an external control, a cohort of patients established separately serving as a control group for the clinical trial's treatment group. Although external controls have the possibility of bias as a result of differences in baseline characteristics between the external control and experimental groups, selecting an appropriate data source and ensuring comparability through proper handling of the data can increase the utility of external controls, raising the efficiency of drug development. This article discusses several topics relevant to using external controls in clinical trials, including the definition of external control, the selection of data sources, the strategy ensuring comparability, current regulatory circumstances, and future directions.

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来源期刊
Translational and Clinical Pharmacology
Translational and Clinical Pharmacology Medicine-Pharmacology (medical)
CiteScore
1.60
自引率
11.10%
发文量
17
期刊介绍: Translational and Clinical Pharmacology (Transl Clin Pharmacol, TCP) is the official journal of the Korean Society for Clinical Pharmacology and Therapeutics (KSCPT). TCP is an interdisciplinary journal devoted to the dissemination of knowledge relating to all aspects of translational and clinical pharmacology. The categories for publication include pharmacokinetics (PK) and drug disposition, drug metabolism, pharmacodynamics (PD), clinical trials and design issues, pharmacogenomics and pharmacogenetics, pharmacometrics, pharmacoepidemiology, pharmacovigilence, and human pharmacology. Studies involving animal models, pharmacological characterization, and clinical trials are appropriate for consideration.
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