Follow‐up of Children With Autoimmune Hepatitis Treated With Cyclosporine
Bibliographic record
Abstract
OBJECTIVES: To evaluate the effectiveness of cyclosporine in inducing and maintaining remission of the inflammatory process in autoimmune hepatitis, when used in combination with low doses of prednisone and azathioprine and to identify the prognostic factors associated with sustained remission. METHODS: Eighty-four patients with autoimmune hepatitis were consecutively recruited from 5 centers between January 1994 and March 2001. Cyclosporine was administered during the first 6 months. Thereafter, in patients with aminotransferase levels of lower than twice the normal values, prednisone and azathioprine were initiated. RESULTS: Normal aminotransferase levels were observed in 94.05% (79/84) of the patients, 72% of them within the first 6 months of treatment. Total serum bilirubin level of greater than 1.2 mg/dL and portal hypertension at diagnosis jointly predicted a significant delay in remission. Adverse effects related to cyclosporine remained mild and transient. Low doses of prednisone and standard doses of azathioprine were not implicated in relapse of the disease during the follow-up of any patient. CONCLUSIONS: This protocol allowed control of the liver inflammatory process and was well tolerated. The response to this immunosuppressive therapy can be predicted with accuracy. Factors delaying remission can be identified early at diagnosis and may contribute to the development of more effective treatment policies for this condition.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".