肺腺癌患者癌症特异性存活率的诺米克图:基于SEER的分析
Hong Guo1,2, Guole Nie3, Xin Zhao2
1First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Surgery open science
|November 11, 2024
概括
这项研究开发了一种名谱,用于预测肺腺癌 (LUAD) 患者的癌症特异性生存率 (CSS). 该工具准确地估计了存活率,有助于对这种流行癌症的临床决策.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 肺腺癌 (LUAD) 是非小细胞肺癌 (NSCLC) 最常见的亚型,往往预后不佳.
- 准确预测癌症特异性存活率 (CSS) 对于有效的LUAD患者管理至关重要.
- 现有的预后工具可能缺乏个性化治疗策略所需的精度.
研究的目的:
- 开发和验证一个强大的预后工具,用于预测LUAD患者的CSS.
- 确定LUAD的关键独立预后因素.
- 为可访问的临床用途创建静态和动态的nomograms.
主要方法:
- 对21099名LUAD患者 (2010-2015年) 的回顾性分析,用于风险因素识别和模型开发.
- 外部验证使用来自SEER数据库的8290名LUAD患者 (2004-2009).
- 最小绝对缩小和选择运算符 (Lasso) 回归用于预测器选择和Cox回归用于模型构建.
主要成果:
- 开发的名图表在1,3年和5年内显示出CSS的强大预测准确性 (AUC从0.740到0.769).
- 预测和观察到的生存时间之间具有很高的一致性,由决策曲线分析 (DCA) 和校准曲线证实.
- 卡普兰-梅尔曲线显示,名图识别的高风险和低风险群体之间的存活率显著不同,具有出色的外部验证.
结论:
- 成功开发了一种可靠且易于使用的指数表,用于预测LUAD患者的CSS.
- 该名录可提供静态和动态 (在线计算器) 格式,增强临床实用性.
- 该工具使医疗保健专业人员能够更好地估计LUAD患者的预后,并个性化护理.
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