5.11 Patient specific functional scale scores in youth with dizziness, neck pain and/or headaches following sport-related concussion
Bibliographic record
Abstract
Objective To evaluate Patient Specific Functional Scale (PSFS) scores in youth diagnosed with sport-related concussion (SRC). Design Cross-sectional. Setting Community sport medicine and rehabilitation clinic. Participants Twenty-four youth participating in a randomized controlled trial (RCT) age 10–18 years [15 (62.5%) females; median age 14 (range 11–16), median time since injury 25.5 days (range 10–107)] diagnosed with a SRC as per the 4thor 5th International Consensus Conference and with persisting symptoms >10 days of dizziness, neck pain and/or headaches. Interventions (or Assessment of Risk Factors) N/A Outcome Measures The PSFS is a self-reported measure designed to assess functional change. Patients are asked to report their specific functional challenges (up to 5) and rate them on a scale of 0–10 (0=unable to perform to 10=no functional limitation). Self-reported functional challenges (written text) and scores (0–10) were recorded on the PSFS at time of enrollment into an RCT. Main Results Three activity limitations were listed by 21 participants and two by 3 participants. The most frequently reported activity limitations were related to sport/physical activity in 18 (75.0%) participants, reading/school in 5 (20.8%), and concentration in 1 (4.2%), with a median rating of 3/10 (range: 0–9). A total of 66 activities (39 by females:27 by males) were listed by participants and related to functioning in sport (57.6%)(female:male 22:16); school (27.3%)(11:7); daily activities around the house (7.6%)(5:0), social environments (1.5%)(0:1), sleep (3.0%)(1:1), playing a musical instrument (1.5%)(0:1), and video games (1.5%)(0:1). Conclusions Sport/physical activity and reading/school functional limitations are commonly reported by adolescents following concussion and should be considered when planning rehabilitation programs.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".