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用于预测第二次原发性恶性瘤的宫癌患者的诊断和预后而构建的诺姆图:一个SEER数据库分析分析

Ning Xie¹, Jie Lin¹, Linying Liu¹

¹Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian Province, China.

Journal of cancer research and clinical oncology

|July 21, 2023

概括

这项研究开发了诊断和预后名录,以预测患有第二次原发性恶性瘤 (SPM) 的宫癌患者的风险和生存率. 这些工具有助于个性化后续和治疗策略,以改善患者的治疗结果.

科学领域:

在瘤学瘤学.
癌症流行病学癌症流行病学
临床决策支持临床决策支持

背景情况:

宫癌 (CC) 幸存者患第二次原发性恶性瘤 (SPMs) 的风险增加.
癌症治疗的进步使得CC患者的长期存活率得到改善,增加了SPM的临床相关性.
开发工具来管理CC患者的SPMs对于个性化护理至关重要.

研究的目的:

建立用于预测CC患者中SPM的发生的诊断名录.
开发预后诺姆图来估计患有SPM (CCSPMs) 的CC患者的生存概率.
帮助临床医生制定针对CCSPM的个性化后续和治疗计划.

主要方法:

利用CCSPM监测,流行病学和最终结果 (SEER) 数据库 (2000-2019) 的数据.
采用后勤和考克斯回归分析来确定CCSPM诊断和预后的风险因素.
使用培训和验证队列构建和验证诊断和预后名录.

主要成果:

基于11个独立风险因素的诊断名录显示出高准确度 (AUCs ≈0.85).
预后名录,包括包括治疗和阶段在内的八个因素,在预测5年整体存活率 (AUCs ≈0.83) 中表现强.
两种名图都得到了验证,证实了它们的可靠性.

结论:

开发的诊断和预后名录为临床医生提供了宝贵的工具.
这些名图能够量化单个SPM风险和CC患者的生存概率.
它们支持优化监测策略和个性化临床决策.

关键词:

宫癌是发生在宫癌的原因之一.诊断诊断诊断诊断诊断这个名字叫做Nomogram.预测预后预测预测风险因素风险因素第二种主要恶性瘤.

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