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.
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 | 0.001 | 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".