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Record W2026650756 · doi:10.1111/apt.13210

Type 1 and type 2 autoimmune hepatitis in adults share the same clinical phenotype

2015· article· en· W2026650756 on OpenAlexfundno aff
P. Muratori, Claudine Lalanne, Andrea Fabbri, F. Cassani, Marco Lenzi, Luigi Muratori

Bibliographic record

VenueAlimentary Pharmacology & Therapeutics · 2015
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
FundersAlberta Innovates - Health Solutions
KeywordsAutoimmune hepatitisMedicineAutoantibodyHepatitisCirrhosisGastroenterologyImmunologyInternal medicineSerologyAntibody

Abstract

fetched live from OpenAlex

BACKGROUND: Autoimmune hepatitis (AIH) is historically classified into type 1 and type 2 on the basis of the autoantibody profile, anti-nuclear and/or anti-smooth muscle antibodies being the serological markers of type 1 AIH, whereas anti-liver/kidney microsomal antibody type 1 and/or anti-liver cytosol antibody type 1 characterise type 2 AIH. AIM: To evaluate whether such a distinction is justified on the basis of different expression of the disease in adults. METHODS: Twenty-six adult patients with type 2 AIH and 52 age- and sex-matched patients with type 1 AIH, representative of the entire cohort of adults with type 1 AIH, were compared at onset and during follow-up. RESULTS: At diagnosis, median age was 26 years (range 17-53), female sex 86%, acute presentation 43%, severe liver histology 54%, cirrhosis 14%, complete response to treatment 52%, progression of the disease 17%, and median disease duration 72 months (range 12-280). HLA-DRB1*0301 was present in 26%, HLA-DRB1*0401 in 23% and HLA-DRB1*0701 in 25%. Clinical presentation, biochemical parameters, severe liver histology, genetic profile, response rate and progression of the disease were identical between type 1 and type 2 AIH. CONCLUSION: There is not enough clinical, biochemical, histological or genetic reason to subdivide adults with autoimmune hepatitis into type 1 and type 2 on the basis of the autoantibody profile, and the term 'autoimmune hepatitis' without qualification should be preferred.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.732

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.386
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations52
Published2015
Admission routes1
Has abstractyes

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