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Record W7011520340

Motoric cognitive risk syndrome: cognitive profile and association with cardio vascular diseases and risk factors

2017· dissertation· en· W7011520340 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicArt, Aesthetics, and Perception
Canadian institutionsnot available
FundersJewish General HospitalUniversity of TorontoMcGill University
KeywordsCognitionAssociation (psychology)Stroop effectCognitive testCued speechCognitive declineTrail Making TestRisk factorMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

Motoric Cognitive Risk (MCR) syndrome is a pre-dementia syndrome, which has been associated with cardiovascular diseases and risk factors (CVDRF) in the US, Japan and pooled multi country populations.The cognitive profile of individuals with MCR syndrome is unknown.Our objectives were: 1) To examine and compare the cognitive performances of non-demented older community-dwellers with and without MCR and Mild Cognitive Impairment (MCI) syndromes, 2) To determine whether MCR syndrome was associated with CVDRF in French, older community-dwellers, and 3) To quantitatively synthesize, with a systematic review and meta-analysis, the association of MCR syndrome with CVDRF.Methods.To further explore these research objectives, we performed 2 studies: Objective 1 was examined in study 1, objectives 2 and 3 in study 2. A cross-sectional database was used.The Gait and Alzheimer Interactions Tracking (GAIT) study is a French database with a total of 912 French community dweller participants from November 2009 to May 2016.After applying the inclusion criteria, a total of 291 nondemented individuals (18.2% diagnosed with MCR) were included in study 1.Cognitive performances were measured using the scores of Mini-Mental Status Examination (MMSE), Frontal Battery Assessment (FAB), Free and Cued Selective Reminding Test (FCRST), Trail Making Test part A (TMTA) and B (TMTB) and Stroop test.In study 2, a meta-analysis was also conducted with Medline and Embase in February 2017 using the terms "motoric cognitive risk syndrome" OR "motoric cognitive risk" OR "motoric risk", with 3.5% (or 7 of 202) studies selected.After applying the inclusion criteria, a total of 238 older community-dwellers non-demented (71.43.6 years; 37.4% female), of which 16.8% were diagnosed with MCR were examined in the original part of the second study.Results.The prevalence of MCI was higher in the MCR group.Moreover, multiple linear regressions showed that these (MCI and MCR) individuals performed worse on all cognitive tests (P<0.005),except the ratio part III /part I of Stroop (P=0.471).Worst performance for this group was for the MMSE score (effect size = -0.57[95% Confidence Interval (CI): -1.02;-0.12])and for TMTB (effect size = 0.59 [95% CI: 0.14;1.04]).Abnormal waist hip ratio (Odd ratio -OR) >2.8 with P<0.020) and high blood pressure (OR >2.5 with P<0.025) were associated with MCR.In the meta-analysis, all pooled OR were significant with P-value <0.001 (OR = 1.41 for cardiovascular diseases, 1.21 for hypertension, 1.44 for diabetes, 2.05 for stroke and 1.34 for obesity).The overall OR was 1.38 (95% CI, 1.33-1.45)with P-value<0.001,for all pooled CVDRF. Conclusion.MCR syndrome is significantly associated with low global cognitive performance and CVDRF.Moreover, the association of MCR and MCI syndromes is highly prevalent and characterized by a worsening cognitive performance.

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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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.220
Teacher spread0.206 · 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