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预后模型用于预测最初被诊断为转移性宫平细胞癌的患者的整体和癌症特异性存活率:基于SEER数据库的研究

Ruilin Ding¹, Zhou Su², Mi Chen³

¹Institute of Drug Clinical Trial/GCP Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.

|July 14, 2023

概括

这项研究开发了预后诺基图来预测转移性宫平细胞癌 (mCSCC) 患者的存活率. 这些模型准确地识别了低风险和高风险群体,有助于为mCSCC制定个性化治疗策略.

科学领域:

在瘤学瘤学.
医学统计医学统计

背景情况:

宫平细胞癌 (CSCC) 是最常见的宫癌 (CC) 类型.
转移性CSCC (mCSCC) 代表了一个先进的阶段,需要改进的预后工具.

研究的目的:

开发和验证用于预测mCSCC患者的整体存活率 (OS) 和癌症特异性存活率 (CSS) 的预后性名录.
确定mCSCC中生存的关键预后因素.

主要方法:

从SEER数据库 (2004-2015) 中提取了2198名mCSCC患者的数据.
考克斯回归分析被用来构建基于预后变量的名图.
使用一致性指数 (C指数),校准曲线和决策曲线分析 (DCA) 验证了名图.

主要成果:

对于OS和CSS的显著预后因素包括婚姻状况,T阶段,脑/肺转移,瘤大小,淋巴结状况,化疗和放射治疗.
诺姆图实现了OS的C指数值为0.714,CSS的C指数值为0.683.
校准曲线和DCA显示出良好的预测性能和临床实用性,将患者分为低风险和高风险组.

结论:

开发的诺姆图为预测最初诊断为mCSCC的患者的OS和CSS提供了令人满意和临床上有用的工具.
这些模型可以帮助对mCSCC进行风险分层和个性化治疗计划.
诺姆图有效地区分低风险和高风险mCSCC患者组之间的生存结果.

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