用小样本确定剂量研究中的3+3设计:陷和可能的补救措施
Cody Chiuzan1,2, Hakim-Moulay Dehbi3
1Northwell Health, New Hyde Park, NY, USA.
Clinical trials (London, England)
|April 15, 2024
概括
对于第一阶段临床试验,传统的3+3设计被基于模型的方法 (如CRM,键盘和BOIN) 超越. 这些替代方案在确定最大耐受剂量 (MTD) 方面提供了更高的准确性和效率.
科学领域:
- 临床试验方法论 临床试验方法论
- 生物统计学 生物统计学
- 药理学 药理学是指药理学的学科.
背景情况:
- 一期临床试验对于确定新药的最大耐受剂量 (MTD) 或最佳生物剂量 (OBD) 是至关重要的.
- 尽管有提议的改进,但传统的3+3设计仍然普遍存在,因为它被认为是简单的,尽管有已知的性能限制.
- 准确的MTD确定对于随后的试验阶段和患者安全至关重要,特别是对于非细胞毒性药物.
研究的目的:
- 在I期临床试验中突出传统3+3设计的局限性.
- 通过模拟研究,比较3+3设计与基于模型和模型辅助设计 (CRM,键盘,BOIN) 的性能.
- 强调样本大小估计在预测毒性和确定MTD中的作用.
主要方法:
- 进行了比较模拟研究,以评估不同第一阶段试验设计的操作特性.
- 评估的关键指标包括正确MTD选择的百分比,每剂量水平的患者分配和总样本大小.
- 3+3设计的性能直接与持续重新评估方法 (CRM),键盘和贝叶斯最佳间隔 (BOIN) 设计进行了比较.
主要成果:
- 与基于模型和模型辅助的设计相比,3+3设计在所有评估的场景和指标中始终表现不佳.
- 3+3方法证明正确识别真实MTD的概率明显较低 (高达三倍),经常选择低于最佳的较低剂量.
- 其他设计 (CRM,键盘,BOIN) 在MTD确定方面表现出更高的效率和精度,将更多的患者分配到有效剂量水平,并探索更高的剂量.
结论:
- 3+3设计对于第一阶段试验来说是不理想的,导致MTD识别的不确定性和不准确性.
- 基于模型和模型辅助的设计,包括CRM,键盘和BOIN,与3+3方法相比,具有显著的优势.
- 建议过渡到更先进的设计,以提高临床试验早期阶段剂量升级的效率和精度.
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