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Record W2035702651 · doi:10.3109/02699052.2010.489791

Cognitive reserve in paediatric traumatic brain injury: Relationship with neuropsychological outcome

2010· article· en· W2035702651 on OpenAlexaff
Amanda Fuentes, Cherisse McKay, Christina Hay

Bibliographic record

VenueBrain Injury · 2010
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalYork University
Fundersnot available
KeywordsNeuropsychologyCognitive reservePsychologyCognitionTraumatic brain injuryPopulationNeuropsychological assessmentClinical psychologyProxy (statistics)Developmental psychologyMedicinePsychiatryCognitive impairment

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: The current study examined the relationship between neuropsychological performance and cognitive reserve (as measured by word reading and vocabulary tasks) in children with TBI. RESEARCH DESIGN: Retrospective records analysis of the neuropsychological test results of 52 participants with medically documented traumatic brain injuries, ranging from 6-16 years of age. MAIN OUTCOME AND RESULTS: Indicators of cognitive reserve were not correlated with the majority of well-recognized neuropsychological measures. CONCLUSIONS: Although past research has found that verbal ability is a valid indicator of CR in adult populations, the present study found evidence against the validity of this traditional reserve proxy when applied to the paediatric population. These findings suggest one of two conclusions: (1) measures used to indicate CR in adult populations (word reading, vocabulary) are not valid indicators of cognitive reserve in paediatric populations; and/or (2) the measures themselves are valid, yet there is simply not a significant relationship between cognitive reserve and short-term (i.e. less than 6 months) neuropsychological outcome in paediatric TBI.

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)0.003
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient 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 score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.136
GPT teacher head0.413
Teacher spread0.276 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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