在线决策工具,以个性化预测存活率和优化肺状细胞癌的老年患者的治疗:一个回顾性队列研究
Chen-Ye Shao1, Jing Luo1,2, Sheng Ju1,2
1Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Gusu District, Suzhou, 215006, China.
BMC cancer
|September 29, 2023
概括
新的预后工具改善了老年肺状细胞癌患者的生存预测. 这些工具比目前的分期提供更高的准确性,有助于个性化治疗决策.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 临床决策支持 临床决策支持
背景情况:
- 肺状细胞癌 (LSCC) 的治疗选择有限.
- 目前的分期系统不足以提供准确的预后和治疗指导.
- 在LSCC中需要改进用于个性化生存预测的工具.
研究的目的:
- 开发和验证肺状细胞癌 (LSCC) 的预后诺基图.
- 创建用户友好的决策工具,用于个性化的生存预测和治疗优化.
- 提高老年LSCC患者的临床决策能力.
主要方法:
- 利用SEER数据库 (4564名患者) 进行名录开发.
- 外部验证的模型与中国患者数据 (1299名患者).
- 使用C指数,校准曲线和AUC评估预后性能.
主要成果:
- 通过考克斯回归分析确定了11个关键预后变量.
- 与目前的分期系统相比,诺莫图显示出更高的预后准确性和令人满意的校准.
- 开发了基于治疗方案的在线工具,以估计基于治疗方案的生存率.
结论:
- 开发的决策工具增强了对LSCC的个性化生存预测和治疗优化.
- 在线工具有助于临床决策,医学教育和研究.
- 免费可用的在线工具已经准备好用于临床整合.
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