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Updated: Jun 4, 2026

Induction of Drug-Induced, Autoimmune Hepatitis in BALB/c Mice for the Study of Its Pathogenic Mechanisms
Published on: May 29, 2020
Risk factors for poor response to autoimmune hepatitis: A systematic review and meta-analysis
Wenhui Mo1, Luohong Li1, Yongqi Dong1
1Department of Gastroenterology and Hepatology and Laboratory of Gastrointestinal Cancer and Liver Disease, West China Hospital, Sichuan University, Chengdu 610041, China.
Predictors of treatment response in autoimmune hepatitis (AIH) include age, immunoglobulin G (IgG) levels, and platelet count. Baseline factors like fibrosis and cirrhosis also influence outcomes in AIH patients.
Area of Science:
- Hepatology
- Immunology
- Internal Medicine
Background:
- Autoimmune hepatitis (AIH) is a chronic liver disease where prognosis depends on treatment response.
- Identifying baseline predictors is crucial for managing AIH effectively.
Purpose of the Study:
- To conduct a meta-analysis identifying baseline predictors of treatment response in autoimmune hepatitis (AIH).
Main Methods:
- Systematic literature search of PubMed, Embase, Ovid MEDLINE, and Cochrane Library.
- Quality assessment using the Newcastle-Ottawa Scale and data pooling via random-effects models.
- Inclusion of 48 studies with analysis of standardized mean differences (SMDs) and odds ratios (ORs).
Main Results:
- Favorable response linked to older age, lower IgG, higher platelets, mild fibrosis, and rosette formation.
- Poor response associated with smooth muscle antibodies (SMA) and baseline cirrhosis.
- Statistical significance confirmed with 95% confidence intervals (CIs).
Conclusions:
- Baseline factors including age, platelet count, IgG levels, SMA, mild fibrosis, rosettes, and cirrhosis predict AIH treatment response.
- These predictors can aid in risk stratification for AIH patients.
- PROSPERO registration number CRD42024623543.
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