7.16 Post concussion symptom reports, dizziness handicap inventory, cardiff visual, king devick, head thrust test and full return to school following sport-related concussion in youth
Bibliographic record
Abstract
Objective To evaluate the impact of self-reported symptoms, Dizziness Handicap Inventory (DHI) and Cardiff Vision (CVAQC), vestibulo-ocular (VOR) and ocular motor (OM) performance on return to school in youth diagnosed with a sport-related concussion (SRC). Design Prospective cohort study that is part of the larger SiMPly Rehab study. Setting Community sport medicine clinic and Children’s hospital in Calgary and Montreal, Canada. Participants Eighty-three youth aged 8–18 years [45(54.22%) females; mean age 14.16+/-2.33], diagnosed with SRC. Outcome Measures Self-reported symptoms [Post Concussion Symptom Inventory + Sport Concussion Assessment Tool, mod/severe symptoms headache, dizziness, neck pain, visual complaints dichotomized youth [mild=0,1,2, mod/severe≥3/6], child [mild=0,1, mod/severe=2/2]], DHI, CVAQC, OM [King Devick (KD)], VOR [Head Thrust Test (HTT)], return to school [full return, return with accommodations, not returned]. Main Results At the initial assessment most participants had returned to school with accommodations (n=48, 63.16%) or fully returned (n=19, 25.0%). Three positive HTT were noted. At 6-months, 6(8.96%) participants had not fully returned. Youth reporting mod/severe headache at initial assessment had 0.10 (95% CI 0.026, 0.39) odds of returning to school at 8-weeks but did not differ for dizziness, visual complaints, neck pain, or KD. For every point increase in DHI [OR=0.95 (95% CI 0.92, 0.99)] and CVAQC [OR=0.33 (95% CI 0.16, 0.67), odds of returning to school by 8-weeks decreased. Conclusions Reports of moderate or severe headache at initial assessment and greater functional limitations reported on the DHI and CAVQC were associated with not fully returning to school 8-weeks following SRC.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".