诺莫格拉姆用于预测术后卵泡性甲状腺癌患者的整体和癌症特异性生存率
Xin Liu1, Suidan Chen1, Cangui Wu2
1The First Affiliated Hospital of Wenzhou Medical University, Department of Pathology, Wenzhou, China.
Brazilian journal of otorhinolaryngology
|September 26, 2025
概括
这项研究开发了名图,以预测手术后患有小囊性甲状腺癌 (FTC) 的患者的生存率. 这些工具利用临床变量预测整体存活率和癌症特异性存活率,以更好地管理患者.
科学领域:
- 在瘤学瘤学.
- 医学统计 医学统计
- 外科手术的结果
背景情况:
- 囊性甲状腺癌 (FTC) 的生存预测对于患者管理至关重要.
- 现有的预测模型可能无法完全捕捉FTC结果的复杂性.
- 需要准确的预测工具来指导术后护理和治疗策略.
研究的目的:
- 开发和验证用于预测手术治疗FTC患者的整体存活率 (OS) 和癌症特定存活率 (CSS) 的诺莫格拉姆模型.
- 确定影响FTC患者存活率的关键临床变量.
- 为临床医生提供一个实用的工具,以估计个别FTC病例的预后.
主要方法:
- 使用监测,流行病学和最终结果 (SEER) 数据库 (2004-2015) 的回顾性队列研究.
- 包括成人患者进行手术治疗FTC.
- 涉及单变量和多变量考克斯回归的统计分析,以确定名ogram构造的显著预测因子.
主要成果:
- 通过使用已识别的临床变量,成功构建了OS和CSS的nomograms.
- 关键的OS预测因素包括年龄,性别,婚姻状况,瘤大小,腺体入侵,N阶段和M阶段.
- 除性别外,所有变量都是CSS的显著预测因素,预测和观察生存率 (c指数,校准曲线) 之间有很好的一致性.
结论:
- 该研究成功开发了用于预测术后FTC患者的OS和CSS的验证名录.
- 这些名ograms作为估计预后和指导临床决策的宝贵工具.
- 鉴定的临床变量为FTC影响生存的因素提供了洞察力.
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