Oral Analgesics Utilization for Children With Musculoskeletal Injury (OUCH Trial): An RCT
Bibliographic record
Abstract
BACKGROUND: Musculoskeletal injuries (MSK-Is) are a common and painful condition among children that remains poorly treated in the emergency department (ED). We aimed to test the efficacy of a combination of an anti-inflammatory drug with an opioid for pain management of MSK-I in children presenting to the ED. METHODS: In this randomized, double-blinded, placebo-controlled trial, we enrolled children between 6 and 17 years presenting to the ED with an MSK-I and a pain score >29 mm on the visual analog scale (VAS). Participants were randomly assigned to oral morphine (0.2 mg/kg) + ibuprofen (10 mg/kg) (morphine + ibuprofen) or morphine (0.2 mg/kg) + placebo of ibuprofen or ibuprofen (10 mg/kg) + placebo of morphine. Primary outcome was children with VAS pain score <30 mm at 60 minutes postmedication administration. RESULTS: A total of 501 participants were enrolled and 456 were included in primary analyses (morphine + ibuprofen = 177; morphine = 188; ibuprofen = 91). Only 29.9% (morphine + ibuprofen), 29.3% (morphine), and 33.0% (ibuprofen) of participants achieved the primary outcome (P = .81). Mean VAS pain reduction at 60 minutes were −18.7 (95% confidence interval [CI]: −21.9 to −16.6) (morphine + ibuprofen), −17.0 (95% CI: −20.0 to −13.9) (morphine), −18.6 (95% CI: −22.9 to −14.2) (ibuprofen) (P = .69). Children in the morphine + ibuprofen group (P < .001) and in the morphine group (P < .001) experienced more side effects than those in the ibuprofen group. No serious adverse event was reported. CONCLUSIONS: Combination of morphine with ibuprofen did not provide adequate pain relief for children with MSK-I in the ED. None of the study medication provided an optimal pain management because most of children did not reach a mild pain score (NCT02064894).
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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) | 0.000 | 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".