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5.8 Effectiveness of early multi-dimensional rehabilitation following sport-related concussion: a randomized trial

2024· article· en· W4391406609 on OpenAlexaffabout
Johna K. Register‐Mihalik, Kevin M. Guskiewicz, Stephen W. Marshall, Karen McCulloch, Jason P. Mihalik, Martin Mrázik, Ian Murphy, Dhiren Naidu, Shabbar I. Ranapurwala, Kathryn Schneider, Danielle Salmon, Paula Gildner, Vasiliki Kostogiannes, Michael McCrea

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsConcussionRandomized controlled trialPhysical medicine and rehabilitationRehabilitationPhysical therapyComputer scienceMedicinePsychologyInjury preventionMedical emergencyPoison controlSurgery

Abstract

fetched live from OpenAlex

Objective Evaluate effectiveness of early-stage multi-dimensional rehabilitation (MDR) on return to sport (RTS). Design Two-arm randomized unblinded trial (NCT02988596). Setting Professional, collegiate, and interscholastic sports (28 sites in USA, Canada, and New Zealand). Participants Consented participants with provider-diagnosed concussion (n=251; 52 professional-Canadian football, 31 professional rugby, 128 college/university, 40 interscholastic; 20% female), randomized by site. Interventions (or Assessment of Risk Factors) An early-MDR arm (n=132) included cognitive, visual-vestibular, symptom comfort, and balance activities; after the athlete was asymptomatic, MDR activities were integrated with standardized sport-specific Enhanced Graded Exertion (EGE) strategies. The comparator EGE arm (n=119) used only conventional exertion strategies (i.e. no early-stage MDR). Prescribed MDR-arm activities started after symptoms stabilized (i.e. pre-asymptomatic). Prescribed EGE activities started once deemed clinically asymptomatic (within 85% of pre-injury baseline). Both arm-specific protocols were initiated at first visit post-injury and continued to RTS clearance. Outcome Measures Multistage survival models analyzed complete days from injury until asymptomatic, and complete days post-asymptomatic to full medical clearance for RTS. Main Results Time to asymptomatic did not differ between arms (p=0.8612). Thereafter (i.e. post-asymptomatic), MDR athletes more rapidly progressed to RTS clearance (p<0.0001). MDR athletes (median 13 days; 95%CI: 13, 16) therefore achieved RTS clearance following concussion quicker (p=0.0190) than EGE-only athletes (median 19 days; 95%CI: 15, 22). By 14 days post-injury, 54.6% of MDR-arm athletes were cleared for RTS, compared to versus 37.8% of EGE-only athletes (p=0.0019). Conclusions Notwithstanding similar initial symptom recovery times, MDR athletes progressed through the post-asymptomatic RTS strategy significantly faster than EGE athletes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0160.002

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.

Opus teacher head0.030
GPT teacher head0.366
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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