Prevalence and Risk Factors for Symptoms of Methotrexate Intolerance in Pediatric Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: Methotrexate (MTX) intolerance is defined as gastrointestinal and behavioral symptoms occurring before or after MTX administration that may lead to treatment discontinuation. The aim of this study was to determine prevalence of MTX intolerance in pediatric inflammatory bowel disease (IBD) using the Methotrexate Intolerance Severity Score developed in rheumatology and to identify risk factors for MTX intolerance. METHODS: Patients with pediatric IBD followed in the IBD clinic of Sainte Justine Hospital who had received MTX for IBD between 2004 and 2016 and were still actively on MTX were invited to fill out the Methotrexate Intolerance Severity Score questionnaire. A cutoff score of ≥6 points was used to define MTX intolerance, with at least one point for anticipatory, associative or behavioral items. RESULTS: Among 102 pediatric patients with IBD, 32 (31%) patients reported symptoms of MTX intolerance. Using a multivariable logistic regression model, factors that were associated with having symptoms of MTX intolerance were female sex (odds ratio 4.31 [95% confidence interval, 1.37-13.60], P = 0.01), receiving a dose of MTX higher than 20 mg/wk at the time of the questionnaire (odds ratio 4.06 [95% confidence interval, 1.30-12.70], P = 0.02), and having active disease according to Physician's Global Assessment (odds ratio 3.44 [95% confidence interval, 1.15-10.26], P = 0.03). Prophylactic prescription of antiemetics and folic acid did not prevent symptoms of MTX intolerance. CONCLUSIONS: Symptoms of MTX intolerance are frequent in pediatric IBD. The Methotrexate Intolerance Severity Score questionnaire could help better recognition of these symptoms. Identification of risk factors could have important implications for the success of treatment.
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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 | 0.003 |
| 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".