Evaluation of Methotrexate Intolerance in Children With Morphea
Bibliographic record
Abstract
OBJECTIVE: Methotrexate is an immunosuppressant commonly used in dermatology. The prevalence of intolerance using the Methotrexate Intolerance Severity Score (MISS) in pediatric juvenile idiopathic arthritis (JIA) ranges from 25% to 75%, but studies in morphea patients are lacking. We sought to determine the prevalence and predictors of methotrexate intolerance in children with morphea compared with children with inflammatory skin diseases and JIA/uveitis. METHODS: Eligible patients were ages 2 to 18 years and were taking methotrexate for at least 3 months to treat morphea, inflammatory skin disease, or uveitis/JIA. Methotrexate intolerance was calculated using the MISS. A 1-way analysis of variance compared absolute intolerance scores. Multivariate regression analysis was used to compare MISS across diseases and covariates. RESULTS: Of 48 participants (mean ± SD age, 11.3 ± 4.1 years, 70.8% female), 15 had morphea, 16 had JIA/uveitis, and 17 had inflammatory skin diseases. The overall prevalence of intolerance was 20.8%. Age, sex, duration, and dose did not correlate with overall MISS. The MISS mean ± SD total for oral dosing was 2.5 ± 3.4, compared with 6.78 ± 6.8 for subcutaneous dosing. Patients with JIA/uveitis had the highest prevalence of intolerance (37.5%, n = 6), followed by morphea patients (20%, n = 3) and inflammatory skin disease patients (5.9%, n = 1). The OR of intolerance according to route of administration was 11.2 (95% CI, 2.03-61.89). CONCLUSIONS: Methotrexate intolerance was highest among patients with JIA/uveitis. The only predictor for risk of intolerance was subcutaneous route of administration. Future work could examine disease activity correlations and interventions designed to minimize intolerance.
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 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".