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Record W2060011242 · doi:10.1159/000341782

Roles of Education and IQ in Cognitive Reserve in Parkinson’s Disease-Mild Cognitive Impairment

2012· article· en· W2060011242 on OpenAlex
Melissa J. Armstrong, Gary Naglie, Sarah Duff‐Canning, Christopher Meaney, Deborah R. Gill, Paul J. Eslinger, Cindy Zadikoff, Mark Mapstone, Kelvin L. Chou, Carol Persad, Irene Litvan, Benjamin T. Mast, Susan H. Fox, David F. Tang‐Wai, Connie Marras

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders Extra · 2012
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity Health NetworkBaycrest HospitalToronto Western HospitalUniversity of Toronto
FundersCore Research for Evolutional Science and TechnologyNational Institute on AgingCanadian Institutes of Health ResearchParkinsonfondenAllerganNational Institutes of HealthNational Institute of Neurological Disorders and StrokeTeva Pharmaceutical IndustriesMerz PharmaceuticalsUniversity of TorontoParkinson Society CanadaIpsenCurePSPNational Institute of Environmental Health SciencesNational Parkinson FoundationParkinson AllianceMichael J. Fox Foundation for Parkinson's ResearchPennsylvania Department of HealthBristol-Myers Squibb
KeywordsCognitive reserveCognitionOdds ratioLogistic regressionPsychologyParkinson's diseaseMedicineCognitive impairmentOddsInternal medicineDiseasePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS: The role of cognitive reserve in Parkinson's disease (PD)-mild cognitive impairment (MCI) is incompletely understood. METHODS: The relationships between PD-MCI, years of education, and estimated premorbid IQ were examined in 119 consecutive non-demented PD patients using logistic regression models. RESULTS: Higher education and IQ were associated with reduced odds of PD-MCI in univariate analysis. In multivariable analysis, a higher IQ was associated with a significantly decreased odds of PD-MCI, but education was not. CONCLUSION: The association of higher IQ and decreased odds of PD-MCI supports a role for cognitive reserve in PD, but further studies are needed to clarify the interaction of IQ and education and the impact of other contributors such as employment and hobbies.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.284
Teacher spread0.270 · 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