Clinical characteristics, referral patterns and time to recovery in youth and adults following a sport-related concussion (src)
Bibliographic record
Abstract
Objective To describe the clinical characteristics, referral patterns and time to recovery in an acute sport-related concussion (SRC) clinic population. Design Prospective Case Series Setting Acute Sport Concussion Clinic (ASCC) Participants Patients aged 13-60 years seen within 4 weeks of SRC at the ASCC from September 2015–April 2016. Outcome measures Frequency, proportions, medians and interquartile ranges (IQR) were used to describe sex, age group, time from injury to assessment, referral sources, time to recovery (days), referrals to additional services, and attrition. Results ASCC assessments were requested by 111 patients a median of 9 days (IQR:4-17) post-concussion [33% female; 60 children [median age 15 years (IQR:14-16)], 51 adults [median age 31 years (IQR:21-42)]; attrition rate=10%]. Referral sources included: self-referral [n=94 (85%)], emergency department [n=9 (8%)], primary care physician [n=7 (5%)], and athletic therapist (n=1). Initial assessment occurred a median of 7 days (IQR:2-9) following the evaluation request. Patients underwent a standardised assessment including symptom scores, neurological, cervical spine and vestibulo-ocular screening a median of 17 days (IQR:9-25) post-concussion. There were 94 (85%) patients with clinical findings of cervical spine and/or vestibulo-ocular dysfunction. Treatment was received by 71/94 (76%) of patients with observed dysfunction. Medical clearance to return to play occurred a median of 30 days (IQR:21-107) post-concussion (n=51) . Conclusions A novel direct-access clinic specific to SRC assists in early triage, leading to expedited assessment, management and treatment in the early post-concussion period. Focused assessment assists in management and recovery with accelerated referral to appropriate services. 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".