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Record W4415263889 · doi:10.1097/htr.0000000000001127

Advances in Understanding the Outcomes of Pediatric Traumatic Brain Injury: From Baby Steps to Bigger Leaps

2025· article· en· W4415263889 on OpenAlexaff
Stacy J. Suskauer, Keith Owen Yeates

Bibliographic record

VenueJournal of Head Trauma Rehabilitation · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsLEAPSTraumatic brain injuryPsychological interventionRehabilitationOutcomes researchRandomized controlled trialClinical trialMEDLINE

Abstract

fetched live from OpenAlex

This Special Communication reflects on progress in understanding the outcomes of pediatric traumatic brain injury (TBI) since the Journal of Head Trauma Rehabilitation special issue (volume 1, issue 4) on "head injury" in children appeared in 1986. We highlight the critical role that prospective, longitudinal cohort studies have played in advancing knowledge about both mild and moderate-severe pediatric TBI. We describe conceptual and methodological innovations that the past 40 years of research has spurred and summarize remaining challenges. These include the need for comparative effectiveness and randomized controlled trials to determine what interventions are effective, singly or in combination, as well as for implementation science to translate research into clinical practice, with the goal being to provide better care and improve outcomes for children with TBI and their families.

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)0.004
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 score0.139
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.411
Teacher spread0.334 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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