在诊断后,开发和验证用于预测甲状腺癌患者自杀风险因素的诺姆图:基于人口的回顾性研究
Jie Zhou1,2,3, Mengjie Tian2,3,4, Xiangchen Zhang1,2,3
1Department of Gastrointestinal Oncology Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Frontiers in endocrinology
|October 16, 2025
概括
这项研究为甲状腺癌患者开发了一种自杀风险名录,整合了各种预测因素. 这种工具有助于临床医生识别高风险个体,及时进行干预,改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 精神病学是一个精神病学.
- 生物统计学 生物统计学
背景情况:
- 甲状腺癌患者面临着独特的心理挑战,包括增加自杀风险.
- 早期识别有风险的个体对于有效的干预至关重要.
研究的目的:
- 开发和验证一个以用户为导向的名图,用于预测甲状腺癌患者的自杀风险.
- 为了能够及时识别和干预高风险子组.
主要方法:
- 使用SEER数据库 (2000-2020) 进行回顾性,基于人口的队列研究.
- 使用LASSO回归来选择特征,并使用Cox比例危险模型来构建名ogram.
- 使用ROC曲线,校准曲线和决策曲线分析验证了名图.
主要成果:
- 开发了第一个整合甲状腺癌自杀风险的基因病理学,治疗和社会经济预测因素的诺莫图.
- 取得了良好的歧视,C指数为0.760 (培训) 和0.724 (测试).
- 通过决策曲线分析证明了临床效用和良好的校准.
结论:
- 成功确定了甲状腺癌患者自杀的关键风险因素.
- 开发的诺米图提供了个性化的自杀风险评估.
- 协助临床医生积极识别和干预这一群体中潜在的自杀行为.
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