Evidence map›Paper›PMID 25082647›Full record

ReviewSeminars in immunopathology2014

Mechanisms of tissue injury in autoimmune liver diseases.

Evaggelia Liaskou, Gideon M Hirschfield, M Eric Gershwin

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Review
  3. The Immunogenic Role of Self-DNA in T Cell Immunity.Clinical reviews in allergy & immunology · 2025
    Review
  4. Review
  5. Myeloid cells in chronic liver inflammation.Cellular & molecular immunology · 2025
    Review
  6. [Predictive value of neutrophil/lymphocyte ratio in the prognosis of primary biliary cholangitis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. NKT cells in liver diseases.Frontiers of medicine · 2018
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Evaggelia LiaskouNIHR Biomedical Research Unit in Liver Disease and Centre for Liver Research, Institute of Biomedical Research, University of Birmingham, Birmingham, UK, B15 2TT.
Gideon M Hirschfield
M Eric Gershwin
NIHR Birmingham Liver Biomedical Research Unit · GBUniversity of Birmingham · GBUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune diseases affecting the liver are mainly represented by autoimmune hepatitis (AIH), primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC). The characteristic morphologic patterns of injury are a chronic hepatitis pattern of damage in AIH, destruction of small intrahepatic bile ducts in PBC and periductal fibrosis and inflammation involving larger bile ducts in PSC. The factors responsible for initiation and perpetuation of the injury in all the three autoimmune liver diseases are not understood completely but are likely to be environmental triggers on the background of genetic variation in immune regulation. In this review, we summarise the current understanding of the mechanisms underlying the breakdown of self-tolerance in autoimmune liver diseases.

Indexed as

AnimalsAutoimmune DiseasesDisease Models, AnimalHumansLiver Diseases

Identifiers

PMID25082647
OpenAlexW2072503909

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.