Prospective observational cohort of paediatricpediatric sport-related concussion
Bibliographic record
Abstract
Objective To determine the symptom duration, and time to return to school and sport after sport-related concussion in paediatric population aged 12–18 years. Symptom duration was hypothesised to be >7–10 days. Design Prospective observational cohort study. Setting Large urban community primary care sports medicine clinic. Paticipants 30 participants age 12–18 years (Male: n=27;Female: n=3) presenting to clinic ≤14 days with sport-related concussion. 100% completed study. Exclusion criteria: age <12 and >18 years, presentation ≥15 days, non-sport related concussion. Independent variable(s)/modifiers Sport, SCAT3 score, past medical and concussion history, objective assessment variables (oculomotor, near-point convergence, vestibular, cognitive, cervical dysfunction). Outcome measures Symptom duration, return to sport, return to school (days) Main results Most concussions occurred playing ice-hockey (53%), followed by Canadian football and basketball. Mean intake SCAT3 symptom number was 10 and symptom score was 22. Patient characteristics included prior concussion (50%), prior neurological conditions (40%), and pre-existing psychological diagnosis (20%). The mean initial exam findings included near point convergence=6.5 cm and Balance Error Scoring System=26.1/30. Vestibular dysfunction (46.7%), cervical pain (53.3%), and abnormal coordination in (43.3%) were present. Mean duration of symptoms was 30.6 days; return to school was 23.9 days. 73.3% of patients would return to sport within 3 months (mean=34.6 days). Conclusions Sport-related concussion symptoms resolved ≥30 days after injury confirming prolonged symptoms in an adolescent population, affecting return to school and sport. Future larger similar prospective studies may identify associations between past medical history or clinical exam findings and symptom duration, return to school and sport. Competing interests None.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".