MétaCan
Menu
Back to cohort
Record W3214843627 · doi:10.1136/bjsports-2021-ioc.422

461 Narrowing the gender gap in rugby injury epidemiology: a novel video-analysis study in the women’s game

2021· article· en· W3214843627 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePoster presentations · 2021
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsAlberta Children's HospitalQueen's UniversityHotchkiss Brain InstituteAlberta Bone and Joint Health InstituteUniversity of Calgary
Fundersnot available
KeywordsConcussionMedicineAthletesInjury preventionPhysical therapyPoison controlPsychological interventionSports medicineTeam sportOccupational safety and healthInjury surveillanceEmergency medicinePsychiatry

Abstract

fetched live from OpenAlex

<h3>Background</h3> Rugby Union has one of the highest risks of injury and concussion in team sports globally. Despite growing participation, little data exists surrounding injury rates and mechanisms in women’s rugby. <h3>Objective</h3> To identify suspected injury and concussion events in women’s varsity rugby union <h3>Design</h3> Video-analysis study using validated suspected injury definition criteria. <h3>Setting</h3> University women’s rugby <h3>Patients (or Participants)</h3> Women’s ‘Canada West’ varsity rugby athletes (2017–2019 seasons) <h3>Interventions (or Assessment of Risk Factors)</h3> Video-analysis of game events leading to suspected injury and concussion <h3>Main Outcome Measurements</h3> Suspected injury and concussion based on content validation and consensus by nine rugby-specific researchers, therapists, and sport medicine physicians <h3>Results</h3> There were 225 suspected injuries recorded in 48 games (Injury rate (IR)= 115.1/1000 hours [95% CI;100.5–131.2] or 4.7 injuries per match). The on-field medical attention IR was 93.1/1000 hours (95% CI;80.1–107.6: 3.8 per game). Suspected concussions accounted for 26% of injuries (30.2/1000 hours: 95% CI;23.0–38.9: 1.2 per game). The attacking team sustained 64.0% of injuries. Removal from play was observed for 28.9% off suspected injuries. The most common injury locations were head/neck (28.4%) and lower extremity (27.6%). The tackle accounted for 67.1% of all injuries, with a propensity of 11.2/1000 tackle events (95% CI;9.5–13.2) or 3.1 tackle-related injuries/game. Of tackle-related injuries, 63.6% were to the ball carrier, while 52.2% of tackle-related concussions were to the ball carrier. <h3>Conclusions</h3> This study adds to the growing body of literature examining women’s rugby union. The rate of suspected injury is high compared with other rugby injury studies. It is acknowledged that suspected injuries and not supported by prospective injury surveillance. The high proportion of tackle-related suspected injuries warrants further investigation into specific characteristics which may be associated with injury onset, and in particular concussion.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.121
GPT teacher head0.414
Teacher spread0.293 · 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