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Record W1967918486 · doi:10.1080/0269905031000088869

Incidence of concussion in contact sports: a systematic review of the evidence

2003· review· en· W1967918486 on OpenAlexaff
Jae-Ok Koh, J. David Cassidy, Emily Jane Watkinson

Bibliographic record

VenueBrain Injury · 2003
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConcussionIncidence (geometry)MedicinePhysical therapyIce hockeyInjury preventionPoison controlOccupational safety and healthPhysical medicine and rehabilitationEmergency medicinePathology

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: To estimate incidence of concussion in contact sports. RESEARCH DESIGN: Systematic review of the literature on concussion in contact sports. METHODS AND PROCEDURES: MEDLINE was searched from 1985-2000. Older articles cited in retrieved articles were also reviewed. Articles meeting the inclusion/exclusion criteria were critically appraised for methodologic quality. The incidence of concussion was recalculated in some cases. RESULTS: Twenty-three out of 63 identified articles were accepted to estimate the risk of concussion. Overall, ice hockey and rugby have the highest incidence of concussion and soccer has the lowest. Male boxers and female taekwondo participants have the highest frequency of concussion at the recreational level. CONCLUSIONS: There are few good studies on the incidence of concussion and limited information on the risk of concussion for females in contact sports. Some common methodological problems were also identified in this literature with the hope of improving future studies.

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)0.011
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.056
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0140.015
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.117
GPT teacher head0.430
Teacher spread0.314 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations189
Published2003
Admission routes1
Has abstractyes

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