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Sport and Recreation-Related Head Injuries Treated in the Emergency Department

2001· article· en· W2328363754 on OpenAlexaffabout
Karen D. Kelly, Heather L. Lissel, Brian H. Rowe, Joanne Vincenten, Donald C. Voaklander

Bibliographic record

VenueClinical Journal of Sport Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineEmergency departmentConcussionInjury preventionOccupational safety and healthEpidemiologyPoison controlIce hockeyEmergency medicineHead injuryRecreationMedical recordSuicide preventionRetrospective cohort studyMedical emergencyPhysical therapySurgeryPsychiatryInternal medicinePhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

OBJECTIVE: Head injury (HI) in sport is common and can have serious consequences. This study examines the epidemiology of sport/recreational (SR)-related HI presenting to the emergency department (ED). DESIGN: Retrospective review of medical records. SETTING: Five EDs in the Capital Health Region (Edmonton) located in the province of Alberta, Canada. PATIENTS: All persons in a 1-year period reporting to the EDs with an HI. HI was defined as IC9-CM coded skull fracture, loss of consciousness, or concussion. MAIN OUTCOME MEASURES: Hospitalization, utilization of diagnostic testing, and discharge destination. RESULTS: In total, 10,877 (3%) of 288,948 ED encounters were for sports and recreational injuries; 358 (3%) were for HI. Males (71%) were more frequently injured; patients < 20 years old were involved in 66% of all HI cases. The highest proportion of HI occurred during ice hockey (21%), cycling (13%), and playground-related activities (8%). 9% of HI were hospitalized (versus 4% admission rate for other SR injuries: p < 0.01). CONCLUSIONS: These results demonstrate the utility of an ED-based injury registry and indicate that patients with HI presenting to the ED from SR activities are common. These injuries appear to be more severe than other types of SR injuries treated in the ED.

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 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.144
GPT teacher head0.466
Teacher spread0.321 · 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 teacher head, not a consensus.

Study designObservational
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

Citations118
Published2001
Admission routes2
Has abstractyes

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