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新型名谱和决策曲线分析用于预测头部和部皮肤癌风险
Rui Zou1, Ying Lin2, Chengli Da3
1Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Clinical Research Center of Oral Diseases, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, 510055, China.
Scientific reports
|November 25, 2025
概括
一个新的诺莫格拉姆模型确定了卡什加的头皮肤癌的八个关键风险因素,有助于早期发现和预防这种流行疾病的策略.
科学领域:
- 在瘤学瘤学.
- 皮肤病学 皮肤病学
- 流行病学 流行病学
背景情况:
- 头部和部皮肤癌的发病率在喀什,新疆和中国不成比例地高,超过了全国平均水平.
- 皮肤癌占该地区所有头恶性瘤的51%,这凸显了风险预测的必要性.
- 现有的数据需要为这一特定人群开发有针对性的风险评估工具.
研究的目的:
- 为了确定与头部和部皮肤癌相关的独立风险因素在卡什加.
- 开发和验证头部和部皮肤癌风险的预测性诺莫格拉姆模型.
- 为临床医生提供一种工具,以识别高风险个体并指导预防工作.
主要方法:
- 从2015-2024年卡什加面部皮肤健康调查中对1,156名参与者的回顾性分析.
- 后勤回归和灵敏度分析用于选独立的风险因素.
- 使用接收器操作特征 (ROC) 曲线,校准曲线和决策曲线分析 (DCA) 开发和验证名ogram模型.
主要成果:
- 确定了八种头皮肤癌的独立风险因素:经常使用化品,高脂肪饮食,少吃蔬菜,咬嘴唇,,吸烟,长时间暴露在阳光下,不戴帽子.
- 开发的诺莫格拉姆模型在风险预测方面表现出良好的可靠性和准确性.
- 该模型在特定值范围内显示出显著的临床实用性,用于识别高风险个体.
结论:
- 诺莫格拉姆模型有效地整合了多种风险因素,以预测卡什加人群中头皮肤癌风险.
- 这种工具可以帮助临床医生早期识别那些面临头皮肤癌风险较高的人.
- 这些发现为该地区的有针对性的预防策略和公共卫生干预提供了宝贵的指导.
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