基于SEER数据库和中国外部验证队列的皮状细胞癌的生存名录
Zhongyi Zhao1,2, Shihan Zhen3, Ning Liu2
1Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, China.
概括
这项研究开发了名图来预测皮状细胞癌 (VSCC) 患者的生存率. 这些工具提供比单独的FIGO分期更准确的预后,有助于临床决策.
科学领域:
- 在瘤学瘤学.
- 癌症预后 癌症预后
- 生物统计学 生物统计学
背景情况:
- Vulvar状细胞癌 (VSCC) 是一种严重的妇科恶性瘤.
- 准确的预后工具对于有效的患者管理和治疗规划至关重要.
研究的目的:
- 开发和验证用于预测VSCC患者的整体存活率 (OS) 和癌症特异性存活率 (CSS) 的诺姆图.
- 为了比较国际妇科和产科联合会 (FIGO) 的分期系统,开发的名图的预测准确性.
主要方法:
- 从SEER数据库 (2004-2015) 中使用了大量的培训队列 (5405名VSCC患者).
- 使用来自京医院 (2014-2020年) 的外部队列 (84名VSCC患者) 验证了名图.
- 采用考克斯回归分析来识别名ogram构造的独立预后因素.
主要成果:
- 纳米图包括瘤大小,等级,阶段,淋巴结状况,转移,手术,化疗,年龄和种族/婚姻状况等因素.
- 运行系统诺米图在1,3和5年的预测中实现了0.86,0.84和0.82的AUC,表现优于FIGO分期.
- 与单独的FIGO分期相比,CSS名组图表表现出更高的性能,AUC为0.89,0.88和0.86,与FIGO分期相比.
结论:
- 开发的诺基图为预测VSCC患者的OS和CSS提供了比FIGO分期更准确和可靠的方法.
- 这些名ograms作为有价值的实用工具,用于个性化的预后评估和VSCC管理中的临床决策.
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