Effectiveness of Emergency Department Treatment of Pediatric Headache and Relation to Rebound Headache
Bibliographic record
Abstract
OBJECTIVE: This study aimed to assess the association between the degree of headache relief obtained in the pediatric emergency department (PED) with abortive treatment and unscheduled return visits to the PED for a recurrent or persistent headache within 72 hours. METHODS: This was a retrospective observational study with 369 patients, all younger than 18 years, who presented to the PED with a primary complaint of either a headache or migraine. Patient and visit details were collected from the medical chart, along with presenting and discharge pain score. Percent pain reduction at discharge was determined through the following calculation: (Presenting Pain Score - Discharge Pain Score)/Presenting Pain Score. Associations were assessed using multivariable logistic regression. RESULTS: No significant association was found between the percent pain reduction and return to the PED (P = 0.49). Mean presenting pain score at the index visit was statistically higher for those who ended up returning to the PED versus those who did not (8.1 vs 7.4; P = 0.02). A trend toward increase in return visits was seen among patients who had a headache duration greater than 3 days (odds ratio, 1.99) and patients who experienced less than 50% pain reduction in the PED (odds ratio, 1.77). CONCLUSIONS: Complete resolution in the PED may not be necessary, given the lack of association between the degree of pain relief and revisit rates. Perhaps, the goal should be to achieve at least 50% pain reduction before discharge.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".