在重症监护队列研究中报告数据缺失和使用解决问题的方法
Ting Ting Wu1,2, Louisa H Smith1,3, Lisette M Vernooij1,4,5
1Department of Health Sciences, Bouve College of Health Sciences, Northeastern University, Boston, MA.
Critical care explorations
|November 13, 2023
概括
关键护理研究往往未能报告或解决缺失的数据,可能会导致结果偏见. 需要改进报告和处理失踪情况的方法,以确保研究的有效性.
科学领域:
- 关键护理医学 关键护理医学
- 流行病学 流行病学
- 生物统计学 生物统计学
背景情况:
- 在队列研究中缺少数据可能会导致有偏见的结果.
- 报告指南存在,但严格遵守重症监护文献是不清楚的.
研究的目的:
- 评估在已发表的重症监护室 (ICU) 队列研究中报告和处理数据缺失的情况.
- 描述用于解决在重症监护研究中缺少数据的方法.
主要方法:
- 对29个重症监护期刊进行了系统的搜索,寻找2022年发表的研究.
- 包括前性或后性队列研究,包括>= 100名患者.
- 研究人员在手稿和补充材料中搜索"缺失"以提取报告和方法的数据.
主要成果:
- 在审查的656项研究中,50.9%提到缺失,47.9%报告缺失的数据超过至少一个变量的5%.
- 只有26.3%的人使用排除标准,10.8%的人使用完整案例分析,49.1%的人使用正式方法来管理失踪情况.
- 缺失>5%与使用缺失数据方法的增加有关 (aOR 2.91). 多重归算是最常见的归算技术 (62.1%).
结论:
- 很大一部分重症监护队列研究未能充分报告或解决缺失的数据.
- 在提到失踪的研究中,只有不到一半使用了正式的方法来处理失踪.
- 教育举措是必要的,以改善失踪报告和在重症监护研究中的解决方法的应用.
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