观察:一个工作流程来评估临床试验赞助商的药物开发中的治疗效应异质性
Konstantinos Sechidis1, Sophie Sun2, Yao Chen2
1Advanced Methodology and Data Science, Novartis Pharma AG, Basel, Switzerland.
Pharmaceutical statistics
|December 27, 2024
概括
本文介绍了评估治疗效果异质性的工作流程 (WATCH),以帮助临床试验赞助商探索治疗效果的变化. 在临床试验中,WATCH提供了一种结构化的方法来理解治疗效果异质性 (TEH).
科学领域:
- 临床药物开发 临床药物开发
- 生物统计学 生物统计学
- 临床试验设计 临床试验设计
背景情况:
- 在随机临床试验中调查治疗效应异质性 (TEH) 是具有挑战性的,因为样本大小和多重性的限制.
- 现有的方法可能无法可靠地确定患者子组之间治疗效果如何不同.
- 需要一个结构化的方法来指导TEH的探索.
研究的目的:
- 为临床药物开发的赞助商提出一个新的工作流程,WATCH (评估治疗效果异质性的工作流程).
- 为在随机临床试验中探索TEH提供一个系统的方法.
- 为了提高对治疗效果在基线共变量之间如何变化的理解.
主要方法:
- 观察工作流包括四个预先规定的步骤:分析计划,初始数据分析和数据集创建,TEH探索和多学科评估.
- 工作流强调探索性分析,而不是确认性推断.
- 它需要在数据库锁定和分析启动之前进行预先规划.
主要成果:
- 观察工作流提供了基于基线共变量治疗效果变化的总体概述.
- 它指导使用外部证据和科学理解来解释发现.
- 重点是对TEH的广泛概述,而不是在子组中识别特定的差异效应.
结论:
- 观察工作流提供了一个强大的框架,用于探索临床试验中的治疗效果异质性.
- 它支持对不同患者群体中药物疗效的更全面的理解.
- 这种探索性方法有助于对药物开发赞助商的临床试验数据进行解释.
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