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基于SEER数据库的局部晚期子宫癌的预后诺姆图:整合考克斯回归和竞争性风险分析

Ying Zhang¹, Ya-Ping Meng, Xiao-Feng Xu

¹Department of Obstetrics and Gynecology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China.

|November 13, 2024

概括

对局部晚期宫癌 (LACC) 的新风险模型整合了关键因素,如阶段和瘤大小. 该工具有助于个性化治疗决策,以改善LACC患者的治疗结果.

科学领域:

在瘤学瘤学.
医学统计医学统计
流行病学流行病学

背景情况:

局部晚期宫癌 (LACC) 具有重大挑战,复发率高,生存率差.
目前对LACC的治疗策略需要改进,以获得更好的患者结果.
有效的风险分层对于个性化管理LACC至关重要.

研究的目的:

为LACC开发和验证一个全面的风险分层模型.
整合考克斯回归和竞争风险分析,以提高预测准确度.
改善临床决策和指导个性化的患者管理.

主要方法:

从监测,流行病学和最终结果 (SEER) 计划 (2010-2015) 中对3428名LACC患者的分析.
考克斯回归和竞争性风险分析的应用,以确定预后因素.
构建和验证总生存率 (OS) 和疾病特异性生存率 (DSS) 的名录.

主要成果:

对OS的关键预后因素包括国际妇科和产科联合会 (FIGO) 的高级阶段,年龄,婚姻状况,种族和瘤大小.
较高的FIGO阶段 (IIIA,IIIB,IVA) 与IB2阶段相比显著增加死亡风险.
注意到种族差异,非洲裔美国人比白人有39.8%的风险;瘤大小对DSS具有重要意义.

结论:

开发的诺米图表显示了LACC存活率的高预测精度 (AUC为DSS的0.706-0.784,OS的0.717-0.781).
经过验证的诺姆图为LACC的个性化患者管理提供了一种精细的方法.
这些风险分层模型有可能显著提高LACC的治疗策略.

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