基于竞争性风险模型,预测晚期肺癌年轻患者癌症特异性存活率的诺莫图
Jiaxin Li1,2, Bolin Pan1, Qiying Huang1
1Department of Clinical Medicine, Guangzhou Medical University, Guangzhou, China.
The clinical respiratory journal
|August 8, 2024
概括
与老年人相比,年轻的肺癌患者面临不同的死亡原因,特别是在早期阶段. 一种新型的诺姆图谱有助于预测晚期肺癌的年轻患者的癌症特异性生存率.
科学领域:
- 在瘤学瘤学.
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 年轻的肺癌 (18-45岁) 是一个罕见的亚组,占所有肺癌病例的5%.
- 由于其独特的特征,了解这一人口群体的死亡原因 (COD) 和生存是至关重要的.
研究的目的:
- 为了比较年轻和老年肺癌患者之间的COD.
- 在晚期肺癌的年轻患者中开发癌症特异性生存率 (CSS) 的预测模型 (nomogram).
主要方法:
- 利用监测,流行病学和最终结果 (SEER) 数据库 (2004-2015) 来获取患者数据.
- 患者被分为年轻 (18-45岁) 和老年 (>45岁) 的两类.
- 在晚期年轻患者 (2010-2015年) 中使用Fine-Gray的预后因素测试开发了一种竞争性风险模型.
主要成果:
- 癌症特异性死亡 (CSD) 在患有早期肺癌的年轻患者中较高 (p < 0.001),但在晚期患者中不高 (p = 0.999).
- 确定了10个独立的CSS预后因素.
- 诺米图表表现出良好的预测准确性 (AUC从0.688到0.791不等),并在培训和验证队列中进行校准.
结论:
- 年轻的肺癌代表了一个独特的临床实体,具有独特的竞争风险事件.
- 开发的诺米图为管理年轻肺癌患者提供了宝贵的见解.
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