Evidence map›Paper›PMID 41670897›Full record

ReviewClinical reviews in allergy & immunology2026

The Geoepidemiology of Autoimmune Hepatitis.

Yang Li, Xiangzhen Meng, Patrick S C Leung, M Eric Gershwin, Diego Vergani, Junmin Song

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical reviews in allergy & immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yang Li *Department of Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, People's Republic of China.
Xiangzhen Meng *Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, People's Republic of China.
Patrick S C LeungDivision of Rheumatology/Allergy and Clinical Immunology, School of Medicine, University of California, Davis, CA, 95616, USA. psleung@ucdavis.edu.
M Eric GershwinDivision of Rheumatology/Allergy and Clinical Immunology, School of Medicine, University of California, Davis, CA, 95616, USA. megershwin@ucdavis.edu.
Diego VerganiKing's College London Faculty of Life Sciences &, Medicine at King's College Hospital, Denmark Hill, London, SE5 9RS, UK. diego.vergani@kcl.ac.uk.
Junmin SongDepartment of Gastroenterology, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110004, People's Republic of China. songjm@sj-hospital.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoimmune hepatitis (AIH) is typically a chronic, inflammatory, and progressive liver disease of autoimmune origin. Currently, two recognized types are identified in clinical practice: type 1 and type 2. The disease can occur in all geographic regions and racial/ethnic groups worldwide, but shows marked variations. This pattern reflects a complex interplay between genetic factors and environmental triggers. In this review, we aim to examine the geoepidemiological features of AIH and explore how these features relate to its etiopathogenesis, providing an integrated analysis of this complex condition. Our work may shed light on the initiation and progression of AIH, as well as its treatment and prevention.

Indexed as

Global HealthHepatitis, AutoimmuneAdultAgedFemaleGenetic Predisposition to DiseaseGeography, MedicalHumansMaleMiddle AgedAutoimmune liver diseaseAutoimmunityEnvironmental factorEpidemiologyEthnicityGenetic predispositionGeographyLatitudePathogenesisRaceSocioeconomic status

Identifiers

PMID41670897

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.