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将艾滋病毒临床试验的生存率传输到外部目标人群

Dasom Lee¹, Chenyin Gao¹, Sujit Ghosh¹

¹Department of Statistics, North Carolina State University, Raleigh, North Carolina, USA.

Journal of biopharmaceutical statistics

|March 23, 2024

概括

这项研究引入了新的方法,将治疗效应从临床试验传递给不同患者群体,重点关注生存结果. 它解决了不同患者特征和违反比例危险假设所带来的挑战.

科学领域:

生物统计学生物统计学
流行病学流行病学
医疗保健服务研究医疗服务研究

背景情况:

随机对照试验 (RCT) 可能由于异质性而不能反映真实世界的人口.
来自RCT的治疗效果估计通常不直接适用于外部目标人群.
艾滋病毒临床试验数据 (ACTG 175) 与不同患者组 (美国,泰国,埃塞俄比亚) 有显著差异.

研究的目的:

开发和评估将治疗效应转移到生存结果的方法,从RCT转移到外部人群.
解决现有的可运输性方法的局限性,这些方法主要关注非生存结果.
调查比例危险 (PH) 假设及其违反对生存结果运输能力的影响.

主要方法:

开发了结果回归,反向概率权重和增强校准权重 (ACW) 方法,以实现生存结果的可转移性.
扩展了ACW方法,使用基于线性线的危险回归模型来放松PH假设.
运用这些方法将ACTG 175HIV试验中的治疗效应传递给外部人群.

主要成果:

在ACTG 175试验中违反了比例危险 (PH) 假设.
依赖PH假设的方法可能会产生偏差的治疗效果估计.
扩展的ACW方法,没有PH假设,为生存结果的可转移性提供了更强大的方法.

结论:

运输治疗效应的生存结果需要专门的方法超出标准方法.
违反PH假设显著影响传输处理效应的准确性.
拟议的扩展ACW方法提供了一个可靠的策略,在存在PH假设违反的情况下,可以准确地传输治疗效果.

关键词:

数据集成数据集成.艾滋病毒试验艾滋病毒试验危险回归的危险回归便携性便携性便携性

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