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Record W4399352756 · doi:10.24875/rmn.23000060

Cognitive impairment in older adults with DM and HBP in a primary care setting

2024· article· en· W4399352756 on OpenAlexaboutno aff
Sergio A. Rodríguez-Castillo, Fernando Cortés-Enríquez, Estefanía Gónzalez-Alcaraz, Haydé G. Guzmán-Barajas, Elizabeth Sarmiento-Lizárraga, Danya L. Durán-Humbert

Bibliographic record

VenueRevista de Fomento Social · 2024
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary careCognitive impairmentGerontologyCognitionOlder peopleMedicinePsychologyPhysical medicine and rehabilitationPsychiatryFamily medicine

Abstract

fetched live from OpenAlex

Objective: We conducted a cross-sectional study to identify, characterize, and compare the presence of cognitive impairment in patients with diabetes mellitus (DM) and patients with high blood pressure (HBP) who were seen in primary care. Methods: Consecutive patients over the age of 65 with DM or HBP who attended outpatient consultation at the Family Medicine Unit No. 51 of the Mexican Institute of Social Security in Guadalajara were included in the study. The Montreal Cognitive Assessment (MoCA) test was applied to detect the presence of cognitive impairment. Results: A total of 177 patients (59.9% men) with DM (59.9%) or HBP (40.1%) were included in the study. It was found that 44.1% of the participants had cognitive impairment. Conclusions: The prevalence of cognitive impairment in older adults with DM or HBP is higher than in older adults without these comorbidities. The use of a quick and easy screening test such as the MoCA test in this group of patients could allow for early detection and impact on timely referral, approach, and management.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.310

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 head0.005
GPT teacher head0.271
Teacher spread0.266 · 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 teacher head, 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
Published2024
Admission routes1
Has abstractyes

Explore more

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