宫癌整体生存预后的开发和内部-外部验证模型:基于SEER的研究和中国数据
Yao Shi1, Jia-Nan Xu1, Qi-Qin Wang1
1Department of Obstetrics and Gynecology, Yangming Hospital Affiliated to Ningbo University, Yuyao, Zhejiang, People's Republic of China.
International journal of women's health
|July 18, 2025
概括
一个新的诺莫格拉姆模型准确地预测了宫癌 (CC) 患者的整体生存期 (OS). 该工具有助于临床医生个性化治疗策略,改善宫癌患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 医学统计 医学统计
- 癌症预后 癌症预后
背景情况:
- 子宫癌 (CC) 仍然是一个重要的全球健康问题.
- 准确预测整体存活率 (OS) 对于有效的CC管理至关重要.
- 现有的预后模型可能需要增强,以提高临床效用.
研究的目的:
- 开发和验证子宫癌患者整体生存期 (OS) 的预测模型.
- 构建一个nomogram来估计3年,5年和10年的OS概率.
- 为CC提供个性化风险评估和临床决策的工具.
主要方法:
- 利用了来自SEER数据库 (2000-2020) 的13,592名CC患者的大队列.
- 使用单变量和多变量考克斯回归分析来确定预后因素.
- 使用训练队列 (n=9,514) 开发了一个名录,并通过内部 (n=4,078) 和外部 (n=318) 验证.
主要成果:
- 确定了六个关键预测因素:年龄,瘤等级,阶段,大小,淋巴结转移 (LNM) 和淋巴血管空间入侵 (LVSI).
- 诺米图表显示出高预测准确度,C指数从0.872到0.885.5不等.
- 对于3年,5年和10年的OS,曲线下的面积 (AUC) 在培训,内部和外部验证队列 (0.892-0.916) 中始终很高.
结论:
- 开发的诺姆图是预测子宫癌患者的OS的可靠和验证的工具.
- 这种预后模型可以整合到临床实践中,以支持个性化治疗规划.
- 诺米图表有助于更好地估计生存概率,帮助医疗保健专业人员优化对CC患者的护理.
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