Short‐course Ondansetron for the Prevention of Methotrexate‐induced Nausea in Children With Crohn Disease
Bibliographic record
Abstract
OBJECTIVES: Methotrexate (MTX) is an effective treatment for Crohn disease (CD); however, its application may be limited by the occurrence of nausea. We assessed whether a short course of ondansetron minimized this adverse event. PATIENTS AND METHODS: A retrospective case-control study of patients with CD who received MTX at the Children's Hospital of Eastern Ontario between 2001 and 2009 was conducted. RESULTS: Sixty-four patients received MTX during this time period. The mean age of diagnosis was 12.0 ± 3.0 years (± standard deviation), and the mean age when MTX was initiated was 13.6 ± 2.6 years. Those receiving only 1 or 2 doses of MTX (N = 4) and stopped for reasons other than development of nausea were not included in the analysis. Fifty patients received ondansetron premedication using a 4- to 8-week tapering schedule with MTX, and only 1 patient (2.0%) developed nausea within the first 3 months of MTX. In contrast, 6 of 10 patients (60.0%, P < 0.001) not premedicated with ondansetron reported nausea following MTX within 3 months. Four of these 6 patients subsequently received ondansetron and had no further complaints. Following ondansetron discontinuation, 5 of 50 (10%) patients developed nausea with subsequent MTX injections, but responded to reinstitution of ondansetron. Some children developed anticipatory nausea (6/60, 10%) and 3 experienced nausea relief after initiating premedication with ondansetron. CONCLUSIONS: Nausea following MTX is a common complaint in patients with CD. For most, this adverse effect may be prevented through the use of a short-course ondansetron as premedication. Ondansetron to treat MTX-induced nausea also can be successfully used but a proactive preventive strategy can be achieved.
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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 | 0.002 |
| 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) | 0.001 | 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".