基于血清学的临床模型对胃癌患者的预后价值
Hai-Huan Feng1,2,3, Wei-Han Zhang2, Kai Liu2
1Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Journal of clinical medicine
|June 26, 2025
概括
一个新的血清风险评分 (SerScore) 有效地预测胃癌的预后. 这种工具有助于评估患者的生存率,并为这种常见的癌症开发先进的诊断方法.
科学领域:
- 在瘤学瘤学.
- 临床诊断 临床诊断 临床诊断
- 生物统计学 生物统计学
背景情况:
- 手术是胃癌的主要治疗方法.
- 准确的预后评估对于患者管理至关重要.
- 目前的预测工具可能需要改进,以便更好地预测.
研究的目的:
- 开发和验证一种基于血清学的临床评分系统,用于胃癌的预后.
- 用手术前的血清学指标创建一个预测模型.
- 评估开发的得分在预测患者存活率方面的有效性.
主要方法:
- 分析了来自5493名胃癌患者 (2009-2018) 的临床病理学数据.
- 在12个选择的血清学指标上使用LASSO-Cox分析构建了血清风险评分 (SerScore).
- 预测预测模型,包括多变量名图,在培训和验证队列中开发和验证.
主要成果:
- 该SerScore有效地区分了生存率,较低的得分表明更好的结果.
- 塞尔Score,年龄,瘤位置,T阶段和N阶段是独立的预后因素.
- 多变量纳米图实现了高预测准确性 (C指数0.745-0.750) 和AUC值 (0.783-0.805),单独超过了SerScore.
结论:
- 开发的SerScore模型是胃癌患者预后评估的有效工具.
- 这种基于血清学的系统增强了预后评估和生存预测.
- 该模型作为未来先进的胃癌预测工具的基础.
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