预测模型协议表明更好地遵守研究进行和报告的建议指南
Paula Dhiman1, Jie Ma1, Shona Kirtley1
1Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Centre for Statistics in Medicine, University of Oxford, Oxford, OX3 7LD, UK.
Journal of clinical epidemiology
|February 22, 2024
概括
预测模型研究的协议很少见,很少公开. 现有协议通常得到了良好报告,这表明预测建模研究中改善了研究方法和报告质量.
科学领域:
- 医学研究方法学 医学研究方法学
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
背景情况:
- 协议对于研究,特别是预测模型至关重要,但它们的完整性至关重要.
- 发表的协议中的遗漏可能会阻碍预测模型研究的可靠性.
研究的目的:
- 评估公布的预测模型研究协议的报告质量和内容.
- 评估遵守这些协议中的方法建议.
主要方法:
- 我们对MEDLINE,Embase和Web of Science进行了系统的搜索,以寻找预测模型研究协议.
- 审查了2022年1月1日至2022年6月30日期间发布的协议.
- 数据提取的指导是个体预后或诊断 (TRIPOD) 陈述的多变量预测模型的透明报告.
主要成果:
- 确定了30个协议,主要用于模型开发 (28),还有一些用于验证 (6).
- 大多数协议都是开放式访问,其中15个报告了未来的数据收集,21个计划聚类数据.
- 报告的关键细节包括样本大小,研究注册,伦理审批和数据共享计划等.
结论:
- 预测模型研究的公开可用的协议很少出现.
- 经审查的协议显示了良好的报告标准,与当前的建议保持一致.
- 报告良好的协议可能有助于提高后续预测模型研究的质量.
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