Clinical features of pediatric autoimmune hepatitis in Japan: A nationwide survey
Bibliographic record
Abstract
AIM: The purpose of this study was to determine the characteristics of children with autoimmune hepatitis (AIH) in Japan. METHODS: Questionnaires that asked about patients newly diagnosed with AIH from 2009 to 2013 were sent to hospitals certified as training facilities for pediatrics in January 2015. RESULTS: A total of 35 patients were enrolled. The median age at diagnosis was 10 years (range, 3 months-15 years), and the male-to-female ratio was 2:3. Female patients were more prevalent among those older than 10 years and male patients were more prevalent in those younger than 10 years. Fifteen patients had jaundice as a subjective symptom, and 5 had hepatic coma grade II. Liver histology classified 20 as chronic hepatitis, 8 as acute hepatitis, and 4 as cirrhosis. Liver histology was not described in 4 patients. Among the 35 patients, 32 were treated with corticosteroids and 29 were initially treated with methylprednisolone pulse therapy. Corticosteroid therapy was effective in 27 patients and ineffective in 1 patient. Plasma exchange with continuous i.v. infusion of cyclosporine A was given to 7 patients with acute hepatitis. Of these, 4 patients presented with fulminant hepatitis and received high-flow, continuous hemodiafiltration. CONCLUSIONS: This survey clarified that the clinical profile of pediatric AIH in Japan is not only different from that of adult AIH in Japan but is also different from that of pediatric AIH in other countries.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".