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双重原发性肺癌患者癌症特异性死亡的临床特征和预后名录的发展:来自SEER数据库的基于人口的研究

Tenghao Rong¹, Cheng Ai¹, Tong Yang²

¹Department of Cardiothoracic Surgery, Bishan Hospital of Chongqing Medical University, No. 9, Shuangxing Avenue, Bishan District, Chongqing, 402760, China.

Journal of cardiothoracic surgery

|April 11, 2025

概括

这项研究开发了一种名谱,用于预测双重原发性肺癌 (DPLC) 患者的癌症特异性生存率. 该模型有效地识别风险因素,帮助肺癌患者做出个性化治疗决策.

科学领域:

在瘤学瘤学.
临床流行病学临床流行病学
生物统计学生物统计学

背景情况:

双重原发性肺癌 (DPLC) 呈现出独特的预后挑战.
准确的生存预测对于有效的患者管理和治疗规划至关重要.

研究的目的:

开发和验证DPLC患者癌症特异性生存期 (CSS) 的临床预测模型.
确定影响DPLC中的CSS的关键预后因素.

主要方法:

来自SEER数据库 (1992-2020) 的997名DPLC患者的回顾性分析.
使用考克斯和逐步回归分析在训练集 (70%) 上开发名图.
使用C指数,ROC曲线,校准图表和DCA的测试集 (30%) 验证名图的性能.

主要成果:

确定年龄,性别,组织学,手术,化疗,T阶段,N阶段和瘤大小作为重要的CSS预测因素 (P<0.05).
该名录显示出良好的辨别能力,C指数为0.671 (训练) 和0.644 (测试).
对于1年,3年和5年生存时间的AUC值在0.72到0.84之间,对校准和决策有用度很好.

结论:

为预测DPLC患者的CSS开发了一种有效的诺米克图.
这种工具可以帮助临床医生做出精确的,个性化的DPLC治疗决定.
了解DPLC的临床特征对于改善患者治疗结果至关重要.

关键词:

特定于癌症的生存率双重原发性肺癌是一种肺癌.肺癌是一种肺癌.这个名字叫做Nomogram.塞尔·塞尔 (Seer) 是一个看得见的人.

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