Drug-induced autoimmune-like hepatitis: A disproportionality analysis based on the FAERS database
This study provides a comprehensive assessment of drugs associated with DI-ALH through a rigorous analysis of the FAERS database using multiple signal detection methods. By identifying both well-known and previously underreported drugs, this study contributes to a more complete understanding of drug-induced liver injury. The findings have important implications for pharmacovigilance strategies and clinical risk assessment. However, limitations inherent in the FAERS database, such as underreporting and the potential for reporting bias, should be considered. Further clinical validation is warranted to confirm these associations.
Authors
- Wangyu Ye
- Yuan Ding (ORCID: https://orcid.org/0000-0002-3840-9886)
- Shaoli Wang (ORCID: https://orcid.org/0000-0002-6675-0950)
- Meng Li (ORCID: https://orcid.org/0000-0001-8399-8483)
- Zhen Liu (ORCID: https://orcid.org/0009-0003-9695-4860)
- Zhihua Tian
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Guang’anmen Hospital (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1371/journal.pone.0317680
- Citations
- 6
- Primary Topic
- Drug-Induced Hepatotoxicity and Protection
- Type
- article
- Field-Weighted Citation Impact
- 9.34