Evidence for the Use of Opioid Medication for Pediatric Acute Pain in the Outpatient Setting: Technical Report
Bibliographic record
Abstract
This technical report summarizes the results of a systematic review designed to support the American Academy of Pediatrics' "Clinical Practice Guideline: Opioid Prescribing for Acute Pain Management in Children and Adolescents in Outpatient Settings." PubMed and Excerpta Medica Database were searched from 2010 to 2023 to identify randomized clinical trials and systematic reviews related to outpatient opioid prescribing to children. Overall, 11 randomized controlled trials were included. Although data were limited, no evidence was found that pain control by opioids is superior to nonopioid alternatives. Further, opioids are often associated with adverse events. The review also suggests that family and patient education and providing disposal methods may decrease risks associated with opioid prescription. Future studies can build on this foundation of evidence to support the appropriate use of opioids for acute pain in children treated in the outpatient setting.
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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 | 0.037 | 0.139 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.012 |
| Bibliometrics | 0.019 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".