抑郁症查工具准确度个人参与者数据元分析:数据贡献与多个因素相关
1Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada.
Journal of clinical epidemiology
|August 24, 2023
概括
大多数符合条件的研究 (65%) 为诊断测试准确性个人参与者数据元分析 (IPDMA) 提供了数据. 出版年份和期刊影响等因素影响了贡献,超过80%的非贡献是由于作者无法访问或数据不可用.
科学领域:
- 医疗信息学 医疗信息学
- 精神病学研究 精神病学研究
- 进行元分析的方法论.
背景情况:
- 个人参与者数据元分析 (IPDMA) 对于诊断测试准确性研究至关重要.
- 了解影响数据贡献的因素对于最大限度地提高IPDMA实用性至关重要.
- 抑郁症查数据项目为此分析提供了一个独特的数据集.
结论:
- 确定了为IPDMAs提供数据的研究的关键特征.
- 调查结果可以为加强数据共享和改进未来IPDMA研究的战略提供信息.
- 解决作者联系和数据可访问性等障碍对于最大限度地发挥研究潜力至关重要.
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