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| Item Type: | Review |
|---|---|
| Title: | Low reporting quality limits the contribution of human organ models to COVID-19 research: a systematic review |
| Creators: |
Hülsemann, Maren, Kniffert, Silke, Löwa, Anna, Baumgardt, Morris, Hönzke, Katja, Vallone, Valeria Fernandez, Drude, Natascha I., Stüdemann, Thomas, Ali, Ahmed S.M., Arroyo Araujo, Maria, Bannach-Brown, Alexandra, Brunotte, Linda, Faist, Aileen, Fatykhova, Diana, Fischer, Mara, Hellwig, Lina, Hinse, Saskia, Kessler, Mirjana, Carlisle, Benjamin G., Khankeh, Sadaf, Dhamrait, Ishminder Singh, Klein, Charlotte, Koceva, Hristina, Kumar, Sriram, Kurreck, Jens, Ludwik, Katarzyna A.  ORCID: https://orcid.org/0000-0002-9436-7270, Mergenthaler, Philipp, Schmerbeck, Sarah S., Singh, Sameer ORCID: https://orcid.org/0000-0001-6140-5501, Teixeira Alves, Luiz Gustavo ORCID: https://orcid.org/0000-0002-5822-4168, Wyler, Emanuel ORCID: https://orcid.org/0000-0002-9884-1806, Stachelscheid, Harald, Hippenstiel, Stefan, Toelch, Ulf and Hocke, Andreas C.
|
| 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. |
| Keywords: | COVID-19, Human Organ Models, Organoids, Systematic Review, Reporting Quality, Meta-Analysis |
| Source: | EBioMedicine |
| ISSN: | 2352-3964 |
| Publisher: | Elsevier |
| Volume: | 130 |
| Page Range: | 106392 |
| Date: | August 2026 |
| Official Publication: | https://doi.org/10.1016/j.ebiom.2026.106392 |
| PubMed: | View item in PubMed |
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