Clinical features of autoimmune hepatitis and comparison of two diagnostic criteria in <scp>K</scp>orea: A nationwide, multicenter study
Bibliographic record
Abstract
BACKGROUND AND AIM: As a rare liver disease, little is known about autoimmune hepatitis (AIH). This study investigated the clinical features and compared two diagnostic criteria of AIH in Korea. METHODS: A nationwide, multicenter, retrospective analysis was done of data of adult patients diagnosed with AIH from January 2005 to December 2009. RESULTS: The enrolled patients (n = 343; mean age, 52.8 years; range, 19-87 years; 12% male, 88% female) met diagnostic criteria of AIH according to the revised original criteria (n = 311) or the simplified criteria (n = 250). At diagnosis, 30.6% were asymptomatic, 22.7% were cirrhotic, and 4.3% displayed hepatic decompensation. The positive results for anti-nuclear antibody, smooth muscle antibody, and anti-liver/kidney microsomal antibody were 94.2%, 23.0%, and 2.9%, respectively. Definite AIH and probable AIH according to the revised original criteria were 24.8% and 65.3%, respectively, while those according to the simplified criteria were 34.4% and 38.5%, respectively. The diagnostic sensitivity and positive predictive value of simplified criteria in comparison with the revised original criteria were 69.9% and 86.4%, respectively. As an initial therapy, corticosteroid (37.7%) or corticosteroid with azathioprine (36.8%) was administered. Remission, incomplete response, and treatment failure were noted with 85.7%, 10.5%, and 3.9% of patients, respectively. CONCLUSIONS: Autoimmune hepatitis in Korea is mostly type I, showing a mean age of 53 years with comparable clinical features to other countries. The concordant rate of the two diagnostic criteria was rather low with modest sensitivity of the simplified criteria. Further studies on the validation of the diagnostic criteria are warranted.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".