0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessUrsodeoxycholic acid (UDCA), an off-patent drug used to treat liver disease, is able to block SARS-CoV-2 entry into the cells downregulating ACE2 expression, a promising strategy to protect against infection. In this light, John et al. have recently demonstrated that in patients with cirrhosis, UDCA exposure was associated with both a decrease in SARS-CoV-2 infection and a reduction in COVID-19 severity confirming previous data published by Brevini et al. To investigate the impact of UDCA treatment in SARS-CoV-2 infection and COVID-19 outcomes in an unselected population of COVID-19 patients we used the administrative databases from Lombardy (Northern Italy), the first region of Western world to experience a rapid increase in the number of COVID-19 cases and related deaths and the most populated Italian region. The analysis included patients from the 1st and 2nd pandemic waves, were wild-type and alfa variant were predominant. This article is protected by copyright. All rights reserved
Luisa Ojeda‐Fernández, Marta Baviera, Giulia Macaluso, Simone Schena, Mauro Tettamanti, Massimo Cartabia, Andreana Foresta, Pier Manuccio Manucci, Alessandro Nobili, Giuseppe Remuzzi, Maria Carla Roncaglioni (2023). UDCA treatment against COVID‐19: Do we have enough clinical evidence for drug repurposing?. , 295(1), DOI: https://doi.org/10.1111/joim.13711.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Letter
Year
2023
Authors
11
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1111/joim.13711
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access