Cervical Spine Dysfunction Following Pediatric Sports-Related Head Trauma
Bibliographic record
Abstract
OBJECTIVE: To examine the prevalence of cervical spine injuries among children and adolescents referred with suspected and diagnosed sports-related concussion (SRC); and evaluate the effect of cervical spine dysfunction (CSD) on physician-documented clinical recovery following SRC. SETTING: A multidisciplinary pediatric concussion program. PARTICIPANTS: A total of 266 patients (6-19 years) referred with suspected SRC. DESIGN: A retrospective cohort study. MAIN MEASURES: CSD defined as neurological symptoms localized to the cervical spine or the presence of neck pain, headache, or dizziness and abnormal cervical spine examination findings; physician-documented clinical recovery. RESULTS: One patient was diagnosed with a T1 compression fracture. Of the 246 patients diagnosed with SRC, 80 (32.5%) met the clinical criteria for CSD including 4 patients with central cord neuropraxia and 1 with a spinal cord injury without radiographic abnormality (SCIWORA). Excluding patients with central cord neuropraxia OR SCIWORA, patients with SRC with CSD took longer to achieve physician-documented clinical recovery (28.5 days vs 17 days, P < .0001) and were 3.95 times more likely to experience delayed physician-documented clinical recovery (>4 weeks postinjury) compared with those without CSD. CONCLUSIONS: Patients with suspected and diagnosed SRC can present with a wide spectrum of coincident cervical spine injuries. Cervical spine dysfunction may be a risk factor for delayed clinical recovery.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".