Clinical implications of antimitochondrial antibody seropositivity in autoimmune hepatitis: a multicentre study
Bibliographic record
Abstract
BACKGROUND/AIM: Antimitochondrial antibody (AMA) positivity is the serological marker of primary biliary cholangitis (PBC), but can also be sporadically detected in autoimmune hepatitis (AIH). Little is known about the clinical significance of AMA in AIH. PATIENTS AND METHODS: We recruited 47 AMA-positive AIH cases from several centres and compared them with 264 well-characterized Italian AIH patients. Cases with any features of PBC were excluded. RESULTS: In univariate analysis, AMA-positive AIH patients were older (46 vs. 36, P=0.002) and more responsive to immunosuppression (74 vs. 59%, P=0.05), but no differences were observed between the two groups after logistic regression using AMA as a dependent variable. None of the AMA-positive AIH patients showed signs of evolving PBC features after a median follow-up of up 47 months. AMA was detected in combination with all serological AIH markers except antiliver kidney microsome type 1 and antiliver cytosol type 1. AMA was the only marker of autoimmunity in eight cases. CONCLUSION: We found no differences between AIH with and without AMA. The groups had similar clinical, biochemical and histological features. AMA-positive AIH patients did not evolve towards PBC. In some cases, AMA was the only autoantibody.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".