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Record W2534458474 · doi:10.1016/j.jalz.2016.06.1331

P2‐164: Pulse Pressure and Mild Cognitive Impairment: Risk of Alzheimer's Disease

2016· article· en· W2534458474 on OpenAlexaboutno aff
Lina Roa, Giancarlos Conde-Cardona, Ricardo Antonio Agredo Zúñiga, Víctor Manuel Pardo Maza, Beatriz Miranda, Yasmina Garcia, Ángela Magnolia Ríos Gallardo

Bibliographic record

VenueAlzheimer s & Dementia · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsPulse pressureRisk factorBivariate analysisMedicineCognitive impairmentDiseaseMontreal Cognitive AssessmentInternal medicineBlood pressureCognitionCardiologyPsychologyPsychiatryStatistics

Abstract

fetched live from OpenAlex

The potential clinical value of the widening of pulse pressure (PP) as a Alzheimer disease (AD) risk factor. The study included a total of 119 participants. The study logistics complied with the Declaration of Helsinki. PP as defined as the difference between the systolic and diastolic pressure readings and the risk of Mild Cognitive Impairment (MCI) to Alzheimer's Disease was evaluate with The Montreal Cognitive Assessment (MoCA) is a test for detection of MCI. Bivariate analyses with Non parametric measures (Spearman).The SPSS for Windows (version 16.0) was used for statistical analyses. All p values < 0.05 were regarded as statistically significant. The general characteristics of the study was 119 participants, 74 women and 45 men; mean age of 72.8 ± 8.2 years, 82 participants with MCI risk . We conducted bivariate analyses PP was not significantly associated with MCI risk (ρ: -0,89 p<0.016). PP is an important risk factor for cardiovascular disease and as a measure of early vascular aging but it is unknown the relationship with risk of Mild Cognitive Impairment to Alzheimer's Disease. This study shows a negative relationship between pulse and MCI.

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)0.003
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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.279
Teacher spread0.262 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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