使用UNOS数据库对观察性研究中缺少数据的报告和处理的系统审查
William L Baker1, Timothy E Moore2, Eric Baron3
1Department of Pharmacy Practice, University of Connecticut School of Pharmacy, Storrs, Connecticut.
在使用UNOS数据库的心脏移植研究中,缺少数据是常见的. 只有三分之一的研究报告处理缺少的数据,经常使用完整的案例分析,这可能不是最佳的.
科学领域:
- 心脏病学 心脏病学
- 移植研究 移植研究
- 数据科学在医学中的数据科学
背景情况:
- 缺少的数据可以降低研究能力,并引入心脏移植 (HT) 研究中的偏见.
- 器官共享联合网络 (UNOS) 数据库是HT研究的关键资源.
- 评估基于UNOS的HT研究中缺少数据的报告和处理对于确保有效推断至关重要.
研究的目的:
- 评估在心脏移植研究中如何报告和处理缺失的数据,利用UNOS数据库.
- 确定用于处理该领域缺少数据的常用方法.
主要方法:
- 在Medline (2018-2023) 的系统文献搜索中,使用UNOS数据库对成人 de novo HT接受者的研究.
- 数据提取包括研究人口,时间框架,终点和处理缺失数据的方法.
- 方法被分为变量选择,完整案例分析 (CCA),缺失指标,单次归纳和多次归纳.
主要成果:
- 在229项研究中,29.3%的研究人员排除了缺少数据的参与者,而40.6%的研究人员报告了最终队列中缺少的数据.
- 只有34.1%的研究报告了处理缺失数据的方法.
- 完整病例分析 (CCA) 是最常用的方法 (52.6%),其次是多重归咎 (28.2%).
结论:
- 使用UNOS数据库进行的心脏移植研究的很大一部分没有充分报告或解决缺失的数据.
- 目前的做法,通常依赖于CCA,可能是不理想的;像多重归算这样的先进方法存在.
- 未来的研究应该强调缺乏数据的透明报告,详细的方法描述和敏感性分析.
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