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老年患有骨外血细胞瘤的预后名录和风险分类系统:一个SEER数据库分析

Ying Chen¹, Meiling Tang¹, Yuxin Fu¹

¹Department of Hematology, The Eighth Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, 518000, China.

Journal of cancer research and clinical oncology

|November 13, 2023

概括

这项研究开发了一种名谱和风险分层系统,用于预测骨外血细胞瘤 (EOP) 的老年患者的整体存活率 (OS). 这些工具有助于临床医生为EOP患者制定个性化治疗策略.

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:

关于骨外血细胞瘤 (EOP) 的生存趋势和预后因素的最新数据有限.
需要改善预测老年EOP患者的整体存活率 (OS).

研究的目的:

为预测老年EOP患者的OS开发一种新型的诺米克图.
建立一个风险分层系统,以提高预后评估.

主要方法:

利用监测,流行病学和最终结果 (SEER) 数据库对900名老年EOP患者 (2000-2019) 的数据库.
采用了考克斯回归,名图构造,ROC曲线,C指数,校准曲线和决策曲线分析 (DCA).
用X-tile软件和卡普兰-梅尔 (K-M) 分析将患者分为两层,分为风险小组.

主要成果:

确定了六个OS的独立预测因素:年龄,诊断年份,婚姻状况,主要部位,手术和以前的瘤史.
诺莫格拉姆显示出良好的预测性能,AUC范围从0.717到0.765,C指数为0.695/0.690.
风险分层显示,在低,中,高风险子组中,在 OS 中存在统计学上显著的差异.

结论:

一个经过验证的名谱和风险分类系统可以有效地预测老年EOP患者的OS.
这些工具支持临床医生制定个性化和合理的治疗策略.
开发的系统增强了EOP管理的临床决策.

关键词:

老年患者的患者.额外骨髓性等离子细胞瘤.额外骨性血细胞瘤这个名字叫做Nomogram.预测模型是一个预测模型.风险分类风险分类风险分类塞尔·塞尔 (Seer) 是一个看得见的人.

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