瘤PSM:在瘤学试验中使用分区生存模型进行成本效益分析的交互工具
Xulong Qiu1,2, Jidi Chen1,2, Muting Wang1
1Department of Cardiothoracic Surgery, Shantou Central Hospital, Shantou, China.
Frontiers in pharmacology
|September 11, 2025
概括
本研究介绍了OncoPSM,这是一种用于瘤学成本效益分析 (CEA) 的新型工具,可以准确地重建患者数据并证明新疗法的成本效益. 通过简化复杂的治疗成本评估,OncoPSM促进了知情决策.
科学领域:
- 卫生经济学 卫生经济学
- 在瘤学瘤学.
- 生物统计学 生物统计学
背景情况:
- 成本效益分析 (CEA) 对于评估新的癌症治疗方法至关重要.
- 现有的CEA工具经常与瘤治疗方案的复杂成本结构作斗争.
- 需要专门的工具来处理癌症护理中复杂的成本组合.
研究的目的:
- 开发和验证OncoPSM,一种用于瘤学成本效益分析的新型应用程序.
- 解决当前CEA工具在捕获复杂瘤治疗成本方面的局限性.
- 为癌症疗法的经济评估提供一个用户友好的平台.
主要方法:
- 从Kaplan-Meier (KM) 曲线重建个人患者数据 (IPD),使用代KM算法.
- 开发了一个分区生存模型 (PSM),该模型基于IPD的参数生存函数.
- 采用治疗周期特定的成本分析,通过马分布进行不确定性模拟.
主要成果:
- 在KM曲线上,OncoPSM准确地从KM曲线重建了IPD,RMSE低 (<0.004).
- 分析显示,实验性治疗具有成本效益,增量成本效益比 (ICER) 为121,402元人民币/QALY,低于WTP值.
- 不确定性分析表明,实验组的成本效益概率为99.7%.
结论:
- 在瘤学研究中,OncoPSM提供了一种方便和有效的方法,用于基于治疗周期的成本分析.
- 该应用程序简化了决策者对CEA流程的可视化和评估.
- OncoPSM有助于做出有关新型癌症治疗方法经济可行性的知情决策.
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