在系统性审查中纳入预印件:对快速综合证据的新方法的初步研究
Jiayi Tong1,2,3, Yifei Sun4, Rebecca A Hubbard5
1The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.
这项研究引入了一种两阶段方法,将未经审查的COVID-19预印件纳入元分析,改善关键健康决策的证据综合. 该方法解决了快速科学研究中前期印刷品质量不一致的挑战.
科学领域:
- 医疗信息学
- 生物统计学
- 流行病学
背景情况:
- 目前已有超过45万份COVID-19手稿,其中10%为未经审查的预印件.
- 预印件加速了知识共享,但对系统审查提出了质量挑战.
研究的目的:
- 开发和验证包括预印在COVID-19元分析中的方法.
- 尽管出版量巨大,但能够及时综合证据.
主要方法:
- 一种通过限制或归算整合预印的两阶段方法.
- 根据出版可能性的信任分数对预印件进行加权.
- 在B阶段评估和调整公布和报告偏差.
主要成果:
- 该方法使用两项COVID-19治疗案例研究进行了验证.
- 氧化对死亡率没有任何好处 (RR 1. 06 [95% CI: 0. 62, 1. 80]).
- 皮质类固醇对死亡率的益处趋势不显著 (RR 0. 88 [95% CI: 0. 62, 1.27]).
结论:
- 拟议的方法弥补了证据综合的方法差距.
- 它有助于有效综合COVID-19研究,包括预版.
- 在信息激增期间支持临床和政策决策.
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