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Record W2465248138 · doi:10.1177/1747493016660105

Calcifications in the carotid siphon inversely associate with cognitive performance in stroke-free community dwellers living in rural Ecuador (The Atahualpa Project)

2016· article· en· W2465248138 on OpenAlexaboutno aff
Óscar H. Del Brutto, Robertino M. Mera, Lauren J. Sullivan, Mauricio Zambrano, Nathan King

Bibliographic record

VenueInternational Journal of Stroke · 2016
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineCognitionStroke (engine)Cognitive declineRural communityEffects of sleep deprivation on cognitive performanceCognitive Assessment SystemCardiologyInternal medicineCognitive impairmentDementiaDemographyPsychiatry

Abstract

fetched live from OpenAlex

We aimed to assess whether carotid siphon calcifications (as seen on computed tomography) are associated with worse performance in the Montreal Cognitive Assessment in 584 stroke-free individuals living in rural Ecuador. Using mean Montreal Cognitive Assessment score of subjects with Grade 1 calcifications (23.1 ± 4.2) as the referent category, fully adjusted generalized linear models showed significant associations between severity of carotid siphon calcifications and cognitive performance (mean Montreal Cognitive Assessment scores: 20.2 ± 4.8 for Grade 2 (p = 0.004), 19.7 ± 5.3 for Grade 3 (p = 0.0001), and 18.8 ± 4.1 for Grade 4 (p = 0.02)). Predictive Montreal Cognitive Assessment score margins were higher in individuals with Grade 1 calcifications than in other groups. This study shows an inverse relationship between calcium content in the carotid siphon and cognitive performance in Amerindians.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.020
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.020
GPT teacher head0.271
Teacher spread0.252 · 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

Citations9
Published2016
Admission routes1
Has abstractyes

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