Current trends in the diagnosis and treatment of autoimmune hepatitis in Japan
Bibliographic record
Abstract
While a certain international consensus has been reached regarding the diagnosis and treatment of autoimmune hepatitis (AIH), there are some unique clinical characteristics of AIH in Japan. For diagnosis of AIH using the new simplified criteria proposed by the International Autoimmune Hepatitis Group, it is necessary to re-evaluate the antibody titer determined by using HEp-2 cells, which are widely used in Japan, and the finding of emperipolesis in liver histology, although the criteria are useful for rapid identification of AIH in routine clinical practice. The use of azathioprine as first-line therapy for AIH is limited in Japan because the drug is not covered by the Japanese national health insurance. Concomitant use of ursodeoxycholic acid (UDCA) to reduce corticosteroids and use of UDCA as monotherapy are therefore considered promising. Moreover, a relatively good survival rate has been reported in patients who developed AIH-induced acute liver failure and underwent living-donor liver transplantation. Current trends in the diagnosis and treatment of AIH in Japan are described in this report with a review of recent findings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".