在随机平台试验中将不同安慰剂作为对照组组合在一起:来自ACTIV-2 COVID-19试验经验的好处和挑战
Carlee B Moser1, Kara W Chew2, Justin Ritz1
1Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
The Journal of infectious diseases
|August 31, 2023
概括
适应性平台试验ACTIV-2使用了合并的安慰剂设计,以有效评估COVID-19治疗方法. 与传统试验相比,这种方法减少了6%的样本大小,特别是在并行第二阶段评估期间.
科学领域:
- 临床试验的设计
- 传染病研究传染病研究.
- 药理学 药理学是指药理学的学科.
背景情况:
- 由于COVID-19的流行,需要对治疗方法进行快速评估.
- 适应性平台试验为药物开发提供了灵活的框架.
- 该ACTIV-2试验旨在评估COVID-19的多种研究药物.
研究的目的:
- 在ACTIV-2自适应平台试验中评估聚合安慰剂设计的效率.
- 为了比较用聚合的安慰剂与不同的对照组实现的样本大小减少.
- 为未来的自适应平台试验设计提供信息.
主要方法:
- 实施一个两步随机化框架.
- 与合并的安慰剂对照组相比,安全性和有效性结果的比较.
- 评估了7种具有不同施用途径的试验性药物.
主要成果:
- 在使用聚合安慰剂设计的研究期间,样本大小减少了6%.
- 在并行的第二阶段评估中,观察到26%的样本大小减少.
- 聚合的安慰剂设计促进了对多种药物的同时评估.
结论:
- 聚合安慰剂设计是适应性平台试验的有效策略,特别是在并发的第二阶段评估期间.
- 讨论了聚合安慰剂实施的复杂性,以指导未来的平台试验设计.
- 这种设计为在流行病环境中加速治疗评估提供了潜力.
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