在寻找常规剂量后优化癌症药物的剂量
Garth W Strohbehn1,2,3,4, Walter M Stadler5, Philip S Boonstra3,6
1Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA.
癌症药物的传统瘤学最大耐受剂量 (MTD) 方法通常会导致过度的副作用. 批准后的剂量优化试验对于完善癌症药物疗效和患者安全至关重要.
科学领域:
- 在瘤学瘤学.
- 临床试验设计 临床试验设计
- 药理学 药理学是指药理学的学科.
背景情况:
- 已建立的瘤学范式侧重于最大耐受剂量 (MTD),该剂量经常超过精密药物的最佳治疗剂量.
- 这种MTD方法可能会导致不必要的患者毒性和不理想的治疗结果.
研究的目的:
- 评估癌症药物剂量发现的历史和当前实践.
- 为批准后的剂量优化试验提出战略优先事项和伦理考虑.
- 概述未来剂量优化研究的关键设计策略,财务和报告方面.
主要方法:
- 审查瘤学中历史和当前的剂量确定范式.
- 对批准后剂量优化试验的现有和拟议方法的分析.
- 讨论试验设计的伦理框架和战略优先事项.
主要成果:
- 当前的MTD范式通常与现代精确癌症药物的有效剂量不一致.
- 批准后的剂量优化带来了重大的方法和道德挑战.
- 几种设计策略可以平衡伦理标准与患者和资助者利益.
结论:
- 通过剂量优化试验重新评估已批准的癌症药物是必不可少的.
- 未来的试验需要新的方法,监管调整和资金结构.
- 在批准后优化癌症药物剂量可以提高疗效并最大限度地减少毒性.
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