Relative Effectiveness of Dopamine Antagonists for Pediatric Migraine in the Emergency Department
Bibliographic record
Abstract
OBJECTIVE: Migraine headaches are common in the pediatric emergency department. The mainstay of abortive treatment consists of nonsteroidal anti-inflammatories and dopamine antagonists. The objective of this study was to compare the effectiveness of 3 commonly used dopamine antagonists to abort pediatric migraine. METHODS: This was a retrospective cohort study of all patients who presented to the pediatric emergency department at a tertiary care pediatric hospital between January 2010 and December 2013. Patients were treated for a migraine headache with a combination of ketorolac and one of the following dopamine antagonists: prochlorperazine, metoclopramide, or promethazine. The primary outcome was treatment failure and receiving non-evidence-based treatment defined by the need for opioids. Secondary outcomes included pain score reduction and return visit within 48 hours. RESULTS: There were 57 patients during this period with 67 visits that met inclusion criteria: 27 (40.3%) visits in which patients were treated with prochlorperazine, 23 (34.3%) visits in which patients were treated with metoclopramide, and 17 (25.4%) visits in which patients were treated with promethazine. Across visits, the mean age was 14.5 years, and 63% were women. Opioids were given for treatment failure in 8.7% of visits in which patients received prochlorperazine, 25% in which patients received metoclopramide, and 42.8% in which patients received promethazine. Patients treated with promethazine had significantly higher odds of needing opioids and experiencing less than 50% reduction in pain score compared with prochlorperazine after adjusting for patient characteristics. CONCLUSIONS: This study suggests variable efficacy among 3 commonly used dopamine antagonists for pediatric migraine headache. Promethazine seems least effective and results in higher use of opioids compared with other available dopamine antagonists.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".