ArticleTherapeutic advances in gastroenterology2012
Management of patients with difficult autoimmune hepatitis.
Article in Therapeutic advances in gastroenterology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Myocardial performance in children with autoimmune hepatitis: Doppler tissue imaging study.European journal of pediatrics · 2013Trial
- Refractory autoimmune hepatitis in children: Considerations for assessment and management.World journal of hepatology · 2025Review
- Autoimmune Hepatitis Associated with Other Autoimmune Diseases: A Critical Review.Journal of clinical and translational hepatology · 2025Review
- Difficult to treat and refractory autoimmune hepatitis: Recent advances in pharmacological management.World journal of hepatology · 2025Review
- The progress of autoimmune hepatitis research and future challenges.Open medicine (Warsaw, Poland) · 2023Review
- Innumerable Liver Masses in a Patient with Autoimmune Hepatitis and Primary Sclerosing Cholangitis Overlap Syndrome.The American journal of case reports · 2017Article
- Trends of Costs and Admission Rates Among Patients Admitted With Autoimmune Hepatitis: Analysis of US Hospitals Using the NIS Database.Journal of clinical and experimental hepatologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Autoimmune hepatitis (AIH) is characterized by a T-cell rich infiltrate associated with lobular and interface hepatitis, hypergammaglobulinemia and production of autoantibodies. Genetic risk is linked to the HLA particularly DRB1*0301 and DRB1*0401 alleles in North American and European Caucasian populations. It has recently been suggested that functional deficiencies in CD4(+)CD25(+)CD127(low)FOXP3(+) regulatory T cells contribute to the breakdown of immune tolerance that results in AIH. Most patients respond to immunosuppressive therapy with corticosteroids and can be maintained in remission by low-dose corticosteroid treatment and/or azathioprine. For those who progress to end-stage disease liver transplantation is an effective treatment although it is associated with recurrence. In the future it is likely that biological therapies will allow more targeted therapy designed to switch the balance to immune regulation and thereby restore immune homeostasis. Although treatment for many cases is relatively straightforward and successful problems are encountered in those who fail to respond to standard treatment, are unable to tolerate it or relapse. In such cases alternative therapies should be considered. In addition treatment is complicated in some patients by comorbidity and special care is required during and after pregnancy. We will discuss the current and future therapeutic options for patients with difficult to treat AIH.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.