化学疗法诱导的口腔粘膜炎的预测模型:系统性审查
Yan Tao1, Xiang Zeng2, Hua Mao1
1Jianyang Traditional Chinese Medicine Hospital Nursing Department, Chengdu, China.
Frontiers in oncology
|September 5, 2025
概括
化疗引起的口腔粘膜炎 (CIOM) 的风险预测模型具有良好的适用性,但偏差很高. 未来的模型需要改进以提高癌症患者的准确性.
科学领域:
- 癌症学
- 临床药房
- 生物统计学
背景情况:
- 化疗引起的口腔粘膜炎 (CIOM) 是癌症患者常见的衰弱性副作用.
- 准确的风险预测对于及时干预和改善患者结果至关重要.
- 现有模型需要进行批判性评估,以评估其临床实用性和方法严格性.
研究的目的:
- 系统地审查和综合现有的CIOM风险预测模型.
- 评估这些模型的方法质量,优势和局限性.
- 为 CIOM 风险预测工具的未来发展和完善提供指导.
主要方法:
- 在多个数据库 (PubMed,Embase,Web of Science等) 中进行全面的文献搜索 直到2025年5月.
- 由独立研究人员进行选和数据提取.
- 使用预测模型偏差风险评估工具 (PROBAST) 进行质量评估.
主要成果:
- 从8项研究中确定了11个CIOM风险预测模型.
- 模型显示出广泛的预测性能 (AUC为0. 630- 0. 966),AUC的综合值为0. 87.
- 虽然适用性令人满意,但总体上存在高偏差风险,外部验证有限.
结论:
- 目前的CIOM风险预测模型适用,但存在重大偏差.
- 未来的研究应优先开发针对特定瘤类型的向模型.
- 强大的内部和外部验证对于提高未来模型的可靠性至关重要.
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