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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 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)0.009
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.136
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 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

Citations19
Published2010
Admission routes1
Has abstractyes

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