Second‐line Agents in Pediatric Patients With Autoimmune Hepatitis
Bibliographic record
Abstract
BACKGROUND AND AIMS: Ten percent to 20% of children with autoimmune hepatitis (AIH) require second-line therapy to achieve remission. Although current guidelines exist on first-line management, evidence for second-line therapy in treatment-refractory patients is lacking. Our aim was to perform a systematic review and meta-analysis of the efficacy and safety of second-line treatments used in this population. METHODS: Electronic and manual searches were used to identify potential studies for inclusion. Studies were selected based on reported response rates to second-line therapies in children who failed response to prednisone and azathioprine. Data extraction and risk of bias assessment were performed independently by 2 reviewers. Meta-analysis using weighted estimate of response rates at 6 months was performed for each treatment option. Heterogeneity was assessed. RESULTS: Fifteen studies of 76 pediatric patients with AIH were included in the review. Overall response rates at 6 months were estimated as 36% for mycophenolate mofetil (MMF) (N = 34, 95% confidence interval [CI] (16-57)), and 50% for tacrolimus (N = 4, 95% CI (0-100%)) and 83% for cyclosporine (N = 15, 95% CI (66%-100%)). Adverse effects were most frequent with cyclosporine (64% experiencing at least 1 adverse effect) followed by tacrolimus (54%) and MMF (48%). Pooled estimates of adverse events were 78% for cyclosporine (95% CI (54%-100%)), 42% for tacrolimus (95% CI (0%-85%)) and 45% for MMF (95% CI (25%-68%)). Sensitivity analyses were not performed due to small sample size. CONCLUSIONS: Cyclosporine had the highest response rate at 6 months in children with standard-treatment-refractory AIH; however, it also had the highest rate of adverse events. MMF was the second most efficacious option with a low adverse effect rate.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".