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癌症预后动态预测模型的报告质量和方法质量
Peijing Yan1,2, Zhengxing Xu3, Xu Hui4,5
1Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
BMC medical research methodology
|March 2, 2025
概括
针对癌症预后的动态预测模型 (DPM) 的报告和方法质量是不理想的. 基准和联合模型需要改进,以加强临床应用.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 动态预测模型 (DPM) 越来越多地用于癌症预后.
- 评估这些DPM研究的质量对于可靠的临床应用至关重要.
研究的目的:
- 评估DPM研究在癌症预后方面的报告和方法质量.
- 确定DPM研究中需要改进的领域.
主要方法:
- 在主要数据库 (MEDLINE,EMBASE,Cochrane图书馆) 进行了全面的文献搜索.
- 报告质量使用个人预后或诊断多变量预测模型 (TRIPOD) 清单进行评估.
- 使用预测模型风险偏差评估工具 (PROBAST) 评估方法质量.
主要成果:
- 分析了自2005年以来发表的34项DPM研究,主要使用里程碑和联合模型.
- 平均TRIPOD遵守率为75%,报告标题,模型规范和临床影响存在重大缺陷.
- 大多数研究表现出低 (n=30) 或不清楚 (n=3) 的方法质量,通常是由于统计分析问题.
结论:
- 里程碑式和联合模型在癌症预后中显示了DPM的前景.
- 目前的DPM研究报告和方法质量不足.
- 报告和方法的改进对于DPM的有效临床实施至关重要.
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