质量(理念)
医学
重症监护医学
风险分析(工程)
梅德林
计算机科学
质量管理
数据科学
生物信息学
风险评估
数据质量
医学物理学
作者
Maren Huelsemann,Silke Kniffert,Anna Löwa,Morris Baumgardt,Katja Hönzke,Valeria Fernandez Vallone,Natascha I. Drude,Thomas Stüdemann,Ahmed S.M. Ali,Maria Arroyo Araujo,Alexandra Bannach‐Brown,Linda Brunotte,Aileen Faist,Diana Fatykhova,Mara Fischer,Lina Hellwig,Saskia Hinse,Mirjana Kessler,Benjamin G. Carlisle,Sadaf Khankeh
出处
期刊:EBioMedicine
[Elsevier BV]
日期:2026-07-28
卷期号:130: 106392-106392
标识
DOI:10.1016/j.ebiom.2026.106392
摘要
BACKGROUND: The COVID-19 pandemic created a unique situation in which researchers repurposed human models of varying complexity to investigate SARS-CoV-2, providing the opportunity to analyse their contribution across organs. METHODS: We conducted a systematic review of 558 studies, divided into pandemic and post-pandemic periods, to assess how human models were applied to investigate host factors, viral replication of SARS-CoV-2, immune responses, and to evaluate reporting quality. FINDINGS: Our analysis revealed substantial limitations that were only partially alleviated in post-pandemic studies. These limitations included heterogeneity of outcome measures, incomplete documentation of model characteristics and experimental procedures, and variable reporting quality, which were associated with reduced cross-study comparability, more difficult risk-of-bias assessment, and limited reliability and interpretability of evidence synthesis and meta-analytical results. INTERPRETATION: Strengthening community-driven reporting standards and methodological transparency is essential to enable robust evidence synthesis and to fully realise the potential of human organ models in future pandemics and translational research. FUNDING: The study was supported by Einstein Foundation Berlin; Federal Ministry of Research, Technology and Space; European Union; Else Kröner-Fresenius-Stiftung; Volkswagen Foundation; Charité 3R; Foundation Charité.
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