The use of ibuprofen and acetaminophen for acute headache in the postconcussive youth: A pilot study
Bibliographic record
Abstract
OBJECTIVE: Acute postconcussive headaches are problematic for children after mild traumatic brain injury. There are no evidence-based guidelines for their management. This pilot study aims to assess the feasibility and efficacy of routine analgesia administration. METHODS: A four-arm open-label randomized controlled trial pilot/feasibility study was conducted: (i) acetaminophen, (ii) ibuprofen, (iii) alternating acetaminophen and ibuprofen and (iv) a control group. Children and youth 8 to 18 years of age presenting to emergency department with headache within 48 hours of their first concussion were recruited consecutively and sequentially randomized. Children with abnormal neuroimaging, history of previous concussions and bleeding disorder were excluded. A headache survey was administered at recruitment. All participants were provided with standard concussion management education and were also instructed on how to use the headache diary for the 1-week study follow-up period. The diary captures (i) headache days, (ii) number of headaches, (iii) headache intensity and (iv) return-to-school information. Feasibility was assessed based on study recruitment and compliance. RESULTS: There were no feasibility concerns with the recruitment and no major compliance issues. Patients on acetaminophen, ibuprofen or both had significantly less headache days, episodes of headache and lower headache intensity than did the standard care group. Patients on both ibuprofen and acetaminophen (79.0%) and on ibuprofen alone (61.0%) were more likely to be back at school 1 week postinjury as compared with the acetaminophen group (33.3%) and the standard care group (21.1%). CONCLUSION: Results showed routine analgesia administration was feasible and effective for postconcussive headache management. A larger full-scale randomized controlled trial is required to further assess the efficacy with longer follow-up, a wider variety of patients and more concussion related outcomes.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".