一个基于SEER数据的诺姆图,用于预后分析卡波西肉瘤患者的存活率
Wanghai Li1, Ling Wang2, Yan Zhang1
1Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
Journal of cancer research and therapeutics
|September 7, 2023
概括
这项研究创造了一种新的工具,用于预测卡波西肉瘤 (KS) 患者的癌症特异性生存率. 诺米图使用患者数据来估计生存概率,帮助临床决策.
科学领域:
- 在瘤学瘤学.
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 卡波西肉瘤 (KS) 是一种复杂的恶性瘤.
- 准确预测癌症特异性存活率 (CSS) 对于管理KS患者至关重要.
- 现有的预后工具可能对KS缺乏全面性.
研究的目的:
- 开发和验证第一个用于预测卡波西肉瘤患者的CSS的综合性名谱.
- 确定影响KS生存的关键预后因素.
- 为个人生存概率估计提供可靠的工具.
主要方法:
- 利用了来自监测,流行病学和最终结果 (SEER) 数据库的4143名KS患者的数据.
- 采用多变量考克斯回归分析来确定预测变量.
- 使用训练 (n=2900) 和验证 (n=1243) 队列与C指数,AUC,NRI,IDI,校准图和DCA等指标验证了名图.
主要成果:
- 开发了一种预测三,五,八,十年CSS概率的诺莫图,用于KS患者.
- 确定瘤阶段是最重要的因素,其次是种族,婚姻状况,年龄,手术,化疗,瘤风险和放射治疗状态.
- 诺米图表表现出了卓越的预测性能和在生存分析中具有良好的净效益.
结论:
- 首个用于预测KS患者存活率的综合性名录成功使用SEER数据开发.
- 这种名图为临床医生提供了一种实用且可靠的工具.
- 它为卡波西肉瘤患者的癌症特异性生存概率提供了个性化的预测.
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