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对于年轻乳腺癌的预后性名录:基于SEER和METABRIC数据库的回顾性研究

Yongxin Li¹, Xinlong Tao¹, Yinyin Ye¹

¹Breast Disease Diagnosis and Treatment Center of Affiliated Hospital of Qinghai University & Affiliated Cancer Hospital of Qinghai University Xining Qinghai China.

Cancer innovation

|October 28, 2024

概括

这项研究开发了准确的诺姆图,以预测年轻乳腺癌 (YBC) 患者的生存率. 这些工具有助于临床医生评估YBC病例的预后并指导YBC病例的治疗决策.

科学领域:

在瘤学瘤学.
生物统计学生物统计学
医疗信息学医疗信息学

背景情况:

年轻乳腺癌 (YBC) 面临着独特的挑战,因为它具有攻击性和不太了解预后.
现有的YBC预后模型可能缺乏全面性和准确性.

研究的目的:

开发和验证准确的诺姆图来预测年轻乳腺癌患者的整体存活率 (OS) 和乳腺癌特定存活率 (BCSS).
在YBC中为临床医生提供可靠的预后评估和临床决策工具.

主要方法:

从SEER数据库 (2010-2020) 中获取的数据用于培训 (n=15,227) 和内部验证 (n=6,526) 的队列.
采用考克斯回归模型来确定OS和BCSS的显著预后因素.
使用METABRIC数据库 (n=90) 进行外部验证的名录.

主要成果:

开发了包含10个预后因素的3年,5年和10年的名录,显示出强大的预测准确性 (C指数:OS=0.806,BCSS=0.813).
校准曲线和决策曲线分析证实了名图的预测准确性和临床实用性.
动态名录和风险分层证实了低风险和高风险组之间生存率的显著差异.

结论:

在YBC患者中生成并验证了全面和准确的诺姆图来预测OS和BCSS.
与以前的模型相比,这些名录图提供了更好的预后评估.
这些工具旨在帮助临床医生评估YBC患者的预后,并为临床管理策略提供信息.

关键词:

乳腺癌特定的生存率.这个名字是名ogramogram.总体存活率总体存活率预测模型的预测模型.年轻的乳腺癌年轻的乳腺癌

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