Low reporting quality limits the contribution of human organ models to COVID-19 research: a systematic review
Authors
- Maren Hülsemann
- 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
- Ishminder Singh Dhamrait
- Charlotte Klein
- Hristina Koceva
- Sriram Kumar
- Jens Kurreck
- Katarzyna A. Ludwik
- Philipp Mergenthaler
- Sarah S. Schmerbeck
- Sameer Singh
- Luiz Gustavo Teixeira Alves
- Emanuel Wyler
- Harald Stachelscheid
- Stefan Hippenstiel
- Ulf Toelch
- Andreas C. Hocke
Journal
- EBioMedicine
Citation
- EBioMedicine 130: 106392
Abstract
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.