Primary biliary cirrhosis – Autoimmune hepatitis overlap syndrome: A rationale for corticosteroids use based on a nation‐wide retrospective study in Japan
Bibliographic record
Abstract
AIMS: Primary biliary cirrhosis (PBC) and autoimmune hepatitis (AIH) may simultaneously coexist in some patients, designated as PBC-AIH overlap syndrome. Previous studies suggest that combination therapy of ursodeoxycholic acid (UDCA) and corticosteroids may be effective. In the current study, we aimed to describe clinical features of these cases and to propose a rationale for combination treatment in PBC-AIH overlap. METHODS: We enrolled patients with PBC-AIH overlap from eight referral centers for liver diseases in Japan, and clinical, biochemical and immunological features were examined. Liver histology of all patients at diagnosis were analyzed altogether in detail. Eighty-nine and 44 patients with PBC and AIH alone were included and served as controls. RESULTS: We identified 33 patients with PBC-AIH overlap. The mean follow-up period was 6.1 years. On liver histology, the HA (hepatitis activity) score was significantly higher than the CA (cholangitis activity) score (P < 0.001). At the end of the follow-up period, corticosteroids were used in 23 patients (72%), and neither liver-related death nor liver transplantation had been noted. The sensitivity and specificity of the simplified AIH scoring system for prediction of patients who required corticosteroids during clinical course was 92% and 75% in the training set (n = 17), and 91% and 80% in the validation set (n = 16) of overlap. Only 3% of PBC patients were diagnosed as having indication for corticosteroid use. CONCLUSION: In PBC-AIH overlap, AIH-like features are dominant in liver histology. The simplified AIH scoring system could predict patients who needed corticosteroids with a higher specificity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".