MétaCan
Menu
Back to cohort
Record W2271791571 · doi:10.1177/0009922815589915

Patterns of Recovery Following Sport-Related Concussion in Children and Adolescents

2015· article· en· W2271791571 on OpenAlexaff
Laura Purcell, Janice Harvey, Jamie A. Seabrook

Bibliographic record

VenueClinical Pediatrics · 2015
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsLondon Health Sciences CentreMcMaster University
Fundersnot available
KeywordsMedicineConcussionInjury preventionHuman factors and ergonomicsSuicide preventionPoison controlOccupational safety and healthMedical emergencyPhysical medicine and rehabilitationPhysical therapyPathology

Abstract

fetched live from OpenAlex

Time to symptom resolution, return to school, and return to play after a sport-related concussion in children and adolescents (8-17 years of age) was examined using a retrospective cohort design. A total of 198 patients aged 8 to 17 years were included, with a mean age of 13.5 years (SD = 2.2). Patients aged 8 to 12 years were symptom-free in a median of 12.0 (range 1-60) days whereas 13- to 17-year olds were symptom-free in a median of 14.0 (range 1-300) days (P = .04). Patients aged 8 to 12 years returned to learn in a median of 4.0 (range 0-30) days compared with 2.5 (range 0-55.0) days in 13- to 17-year-olds (P = .86). Patients aged 8 to 12 years returned to play in a median of 14.0 (range 4-75) days compared with a median of 19.5 (range 5-75) days in 13- to 17-year-olds (P = .06). These results indicate that children and adolescents generally take 2 to 4 weeks to recover from a sport-related 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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.078
GPT teacher head0.395
Teacher spread0.316 · 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 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

Citations74
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueClinical PediatricsSame topicTraumatic Brain Injury ResearchFrench-language works237,207