Prevalence of sclerosing cholangitis in adults with autoimmune hepatitis: Evaluating the role of routine magnetic resonance imaging
Bibliographic record
Abstract
UNLABELLED: Large bile duct injury (that seen on cholangiography) is not usually considered a feature of autoimmune hepatitis (AIH) in adults but is present in up to 50% of children with AIH. The aim of this work was to study the prevalence of large bile duct abnormalities identified by magnetic resonance cholangiography (MRC) in adults given a diagnosis of AIH. Seventy-nine (n = 79) patients given a diagnosis of AIH (mean AIH score: 15.1 +/- 3.4) were screened with MRC for evidence of sclerosing cholangitis (SC). Results were reviewed by two radiologists. Clinical parameters were correlated with MRC findings. A histological review of available liver biopsies (n = 29) was performed. Of the 79 patients surveyed, 8 (10%) had MRC findings consistent with primary sclerosing cholangitis (PSC). The interrater variability was excellent (kappa = 0.87). Younger age at diagnosis (24.3 +/- 11.9), higher baseline alkaline phosphatase (186.4 +/- 98.3), higher bilirubin at time of MRC (45.8 +/- 37.2), and greater lobular activity on initial liver biopsy were significantly associated with the detection of this overlap of SC with AIH (P = 0.024, P = 0.037, P = 0.032, and P = 0.041, respectively), but not alkaline phosphatase/aspartate aminotransferase ratio, time between the initial diagnosis of AIH and the MRC, or the presence of cirrhosis on initial liver histology. Two cases with a normal MRC had histological lesions typical of small duct PSC. CONCLUSION: The presence of SC detected by MRC and from liver histology in adult patients with AIH may not be clinically overt, and thus the prevalence of this AIH/SC overlap may be higher than previously recognized. Our data suggest that routine radiological evaluation of the biliary tree should be performed in adults given a diagnosis of AIH, as in children the presence of this overlap negatively impacts on survival.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".