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Incorporating preprints in systematic reviews: a preliminary study of a novel method for rapid evidence synthesis.

作者信息

Tong Jiayi, Sun Yifei, Hubbard Rebecca A, Saine M Elle, Xu Hua, Zuo Xu, Lin Lifeng, Weng Chunhua, Schmid Christopher H, Kimmel Stephen E, Umscheid Craig A, Cuker Adam, Chen Yong

机构信息

The Center for Health AI and Synthesis of Evidence (CHASE), Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.

Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA 19104, United States.

出版信息

J Am Med Inform Assoc. 2025 Sep 3. doi: 10.1093/jamia/ocaf111.

Abstract

OBJECTIVES

By October 1, 2024, over 450,000 COVID-19 manuscripts were published, with 10% posted as unreviewed preprints. While they accelerate knowledge sharing, their inconsistent quality complicates systematic studies.

MATERIALS AND METHODS

We propose a 2-stage method to include preprints in meta-analyses. In Stage A, preprints are integrated through restriction or imputation and weighted by a confidence score reflecting their publication likelihood. In Stage B, we assess and adjust for potential publication or reporting biases.

RESULTS

This preliminary study employed a 2-stage procedure validated with 2 COVID-19 treatment case studies. For hydroxychloroquine, the relative risk (RR) was 1.06 [95% CI: 0.62, 1.80], suggesting no mortality benefit over placebo. For corticosteroids, the RR was 0.88 [95% CI: 0.62, 1.27], which, while not statistically significant, aligns with evidence supporting a mortality benefit.

DISCUSSION

Our research aims to bridge a significant methodological gap by providing a solution for timely evidence synthesis, particularly in the face of the overwhelming number of publications surrounding COVID-19.

CONCLUSION

This preliminary study presents a method to efficiently synthesize COVID-19 research, including non-peer-reviewed preprints, to support clinical and policy decisions amidst the information surge.

摘要

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