设计癌症查试验以减少晚期癌症发病率
Kehao Zhu1, Ying-Qi Zhao2, Yingye Zheng2
1Department of Biostatistics, University of Washington, Seattle, WA 98109, USA.
Biometrics
|September 20, 2024
概括
开发一种新的癌症检测生物标志物需要通过随机对照试验 (RCT) 证明临床效用. 我们的模型有助于设计这些查试验,通过将测试性能与患者结果联系起来.
科学领域:
- 生物标志物的发现和验证.
- 临床试验的设计
- 癌症查和早期检测
背景情况:
- 在广泛采用之前,证明早期癌症检测生物标志物的临床实用性至关重要.
- 设计用于查生物标志物的随机对照试验 (RCT) 因疾病进展和查效应而面临独特的挑战.
研究的目的:
- 为设计早期癌症检测生物标志物查试验提出一个通用的多状态病史模型.
- 为了推导基于模型的效果大小,将生物标志物性能与临床终点联系起来.
- 为了促进对选试验的研究功率的评估.
主要方法:
- 利用一个通用的多状态病史模型.
- 导出基于模型的效果大小,将测试灵敏度与晚期癌症发病率联系起来.
- 纳入生物标志物测试计划的实际实施.
- 对准分析与RCT的时间表.
主要成果:
- 拟议的模型将关键性能指标 (如灵敏度) 与主要终点 (如晚期癌症发病率) 联系起来.
- 该方法可以根据测试灵敏度,随访时间和测试频率来评估研究功率.
- 一个计算工具可以实现对选试验制定战略的现实评估.
结论:
- 开发的模型和计算工具可以帮助从业人员设计早期癌症检测生物标志物的有效查试验.
- 这种方法解决了用于查干预的RCT设计的复杂性.
- 使用国家肺部查试验的数值示例证明了该方法的适用性.
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