Autoimmune hepatitis/primary biliary cirrhosis overlap syndrome and associated extrahepatic autoimmune diseases
Bibliographic record
Abstract
AIM: To assess the prevalence of concurrent extrahepatic autoimmune diseases in patients with autoimmune hepatitis (AIH)/primary biliary cirrhosis (PBC) overlap syndrome and applicability of the 'mosaic of autoimmunity' in these patients. METHODS: The medical data of 71 AIH/PBC overlap patients were evaluated for associated autoimmune diseases. RESULTS: In the study population, 31 (43.6%) patients had extrahepatic autoimmune diseases, including autoimmune thyroid diseases (13 patients, 18.3%), Sjögren syndrome (six patients, 8.4%), celiac disease (three patients, 4.2%), psoriasis (three patients, 4.2%), rheumatoid arthritis (three patients, 4.2%), vitiligo (two patients, 2.8%), and systemic lupus erythematosus (two patients, 2.8%). Autoimmune hemolytic anemia, antiphospholipid syndrome, multiple sclerosis, membranous glomerulonephritis, sarcoidosis, systemic sclerosis, and temporal arteritis were identified in one patient each (1.4%). A total of 181 autoimmune disease diagnoses were found in our patients. Among them, 40 patients (56.4%) had two, 23 (32.3%) had three, and eight (11.3%) had four diagnosed autoimmune diseases. CONCLUSION: A large number of autoimmune diseases were associated with AIH/PBC overlap patients. Therefore, extended screening for existing autoimmune diseases during the routine assessment of these patients is recommended. Our study suggests that the concept of 'mosaic of autoimmunity' is a valid clinical entity that is applicable to patients with AIH/PBC overlap syndrome.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".