用于预测急性红色素瘤白血病的整体和癌症特异性存活率的预后性诺姆图:基于SEER的研究
1The Department of Clinical Laboratory, The Sixth Affiliated Hospital of Harbin Medical University, Harbin, 150000, China.
Discover oncology
|January 23, 2026
概括
这项研究开发并验证了使用SEER数据预测急性红细胞白血病 (AEL) 患者的整体存活率 (OS) 和癌症特异性存活率 (CSS) 的诺姆图. 这些模型显示了风险分层的可靠性能.
科学领域:
- 血液学 血液学 血液学
- 在瘤学瘤学.
- 生物统计学 生物统计学
背景情况:
- 急性红细胞白血病 (AEL) 是一种罕见的,具有不良预后的侵袭性髓性白血病.
- 由于AEL的复杂性,目前的分期系统无法充分预测结果.
- 对于AEL.没有标准化的治疗策略.
研究的目的:
- 开发和验证用于预测AEL患者的整体存活率 (OS) 和癌症特异性存活率 (CSS) 的诺米克模型.
- 在AEL中确定OS和CSS的独立预后因素.
- 为AEL提供一个改进风险分层的工具.
主要方法:
- 从SEER数据库 (2000-2021) 中对778名AEL患者进行了回顾性分析.
- 使用考克斯回归,C指数,ROC曲线,校准图和DCA.开发和验证名ograms.
- 患者被随机分配到培训 (n=544) 和验证 (n=234) 队列.
主要成果:
- 年龄,化疗,婚姻状况和第一次原发性瘤状况被确定为OS和CSS的独立预后因素.
- 在两个群体中,名图显示出良好的区分能力 (C指数~0.66) 和预测准确性.
- 风险分层有效地区分了高风险和低风险的AEL患者 (P < 0.001).
结论:
- 在AEL患者中预测OS和CSS的基于SEER的新型名录显示出可靠的性能.
- 这些模型有助于风险分层,但缺乏用于增强生物解释性的分子数据.
- 在临床实施这些AEL名谱之前,建议进行外部验证.
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