在女性肺腺癌患者中建立和验证预后诺姆图
Feiyang Li1, Fang Li2, Dong Zhao1
1Ward 2, Department of Medical Oncology, Lixin People's Hospital of Bozhou City, Anhui Province, China.
Medicine
|November 5, 2025
概括
这项研究开发了女性肺腺癌患者的预后模型,确定了年龄和阶段等关键因素,以准确预测整体生存率 (OS) 和癌症特异性生存率 (CSS).
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 公共卫生 公共卫生
背景情况:
- 女性肺腺癌发病率的增加需要改进预后工具.
- 对于这一人口群体的现有预后因素没有被系统地研究.
- 准确的生存预测对于个性化治疗策略至关重要.
研究的目的:
- 为女性肺腺癌患者构建和验证预后预测模型.
- 确定总生存 (OS) 和癌症特异性生存 (CSS) 的显著预后因素.
- 为这个特定的患者群体提供更准确的生存预测工具.
主要方法:
- 对11,562名女性肺腺癌患者的回顾性分析.
- 使用COX回归分析开发OS和CSS的名ograms.
- 使用C指数,校准曲线,ROC曲线和DCA验证模型性能.
主要成果:
- 确定了年龄,种族,婚姻状况,AJCC阶段,手术,放射治疗,化疗和远程转移作为OS和CSS的显著预后因素.
- 构建并验证了OS和CSS的预测名ograms.
- 通过严格的验证,证明了开发的预测模型的准确性和可靠性.
结论:
- 开发的预后模型准确地预测了女性肺腺癌患者的OS和CSS.
- 这些模型可以帮助临床医生提供更精确的生存预测.
- 该研究强调了考虑多种临床和人口因素对预后的重要性.
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