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Optimal Recovery Following Pediatric Concussion

2025· article· en· W4408591549 on OpenAlexafffundabout
Miriam H. Beauchamp, Ken Tang, Andrée‐Anne Ledoux, Ashley D. Harris, Kristina Kowalski, William Craig, Jocelyn Gravel, Quynh Doan, Stephen B. Freedman, Roger Zemek, Keith Owen Yeates, Bruce Björnson, Angelo Mikrogianakis, Bradley G. Goodyear, Nishard Abdeen, Christian Beaulieu, Mathieu Dehaes, Sylvain Deschênes, Catherine Lebel, Ryan E. Lamont, Tyler Williamson, Karen Barlow, Brian L. Brooks, Carolyn A. Emery, Lianne Tomfohr‐Madsen, Kelly Mrklas, Kathryn Schneider

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsBC Children's HospitalResearch CanadaUniversity of British ColumbiaStollery Children's HospitalAlberta Children's HospitalUniversity of CalgaryChildren's Hospital of Eastern OntarioUniversity of OttawaUniversity of AlbertaUniversité de MontréalHotchkiss Brain InstituteCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Institutes of Health Research
KeywordsConcussionMedicinePhysical medicine and rehabilitationComputer scienceMedical emergencyInjury preventionPoison control

Abstract

fetched live from OpenAlex

Importance: Pediatric concussion affects millions and results in heterogeneous outcomes and recovery trajectories. Given favorable outcome for most children, it is useful to understand characteristics of positive outcome to promote full recovery in all children. Objective: To document the timeframe of recovery to optimal functioning, defined comprehensively across motor-physical, cognitive, socioemotional, and resilience-support domains, after concussion among children ages 8 to 16 years. Design, Setting, and Participants: For this prospective cohort study, children ages 8 to 16.99 years with a concussion or orthopedic injury (OI) were recruited between September 2016 and July 2019 from 5 Pediatric Emergency Research Canada emergency departments and assessed approximately 10 days, 3 months, and 6 months after their injury. Data were analyzed from January 29, 2024, to January 11, 2025. Exposure: Concussion. Main Outcomes and Measures: Participants completed self-report and direct assessment measures of postconcussive symptoms, physical activity and function, balance, cognitive function, quality of life, resilience, and social support. The main outcome was optimal functioning, which was derived from 11 variables and criteria indicative of absence of impairment and average or above functioning in each domain (overall score, 0-11; higher score indicates better function). A longitudinal, multivariable, cumulative probability ordinal regression model was fitted to examine factors associated with optimal functioning. Results: A total of 967 children (median [IQR] age, 12.3 [10.5-14.3] years; 562 [58.1%] male) were enrolled, including 633 children with a concussion and 334 children with an OI. The median (IQR) optimal functioning scores for the OI group were 6.0 (4.0-8.0) at 10 days, 7.0 (5.0-9.0) at 3 months, and 7 (5.0-9.0) at 6 months, compared with 4.0 (2.0-6.0) at 10 days, 6.0 (4.0-9.0) at 3 months, and 7.0 (4.0-9.0) at 6 months in the concussion group. The 3 main variables (time, sex, and group) were significantly associated with optimal functioning, as were all 2-way interactions. Time was the strongest factor associated with optimal functioning (Wald χ258 = 485.11; P < .001), followed by group (Wald χ26 = 95.10; P < .001), and sex (Wald χ26 = 23.19; P < .001). At the 10-day follow-up, concussion was associated with lower optimal functioning than OI among females (odds ratio [OR], 0.24 [95% CI, 0.16-0.36]) and males (OR, 0.37 [95% CI, 0.26-0.53]). This difference persisted for females at 3 months (OR, 0.57 [95% CI, 0.35-0.93]) but not for males. Optimal functioning was comparable at 6 months. Conclusions and Relevance: In this prospective cohort study of children with concussion, achieving optimal functioning levels across physical, cognitive, socioemotional, and resilience domains took 3 months or more, especially for girls with concussion. Multiple domains of outcome need to be taken into account when considering full recovery and optimal function after pediatric 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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.001
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 head0.044
GPT teacher head0.366
Teacher spread0.322 · 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.

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

Citations8
Published2025
Admission routes3
Has abstractyes

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