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Record W4414758971 · doi:10.21802/artm.2025.3.35.78

МЕДИКО-СОЦІАЛЬНА ОЦІНКА СТАНУ ПАЦІЄНТІВ З АТЕРОСКЛЕРОТИЧНИМИ УРАЖЕННЯМИ СОННИХ АРТЕРІЙ

2025· article· en· W4414758971 on OpenAlexaboutno aff
Nadiya T. Segin

Bibliographic record

VenueArt of Medicine · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAsymptomaticDiseaseDiabetes mellitusStroke (engine)Montreal Cognitive AssessmentFramingham Risk ScoreFamily historyFramingham Heart StudyMedical historyDyslipidemia

Abstract

fetched live from OpenAlex

Combining several assessment methods (functional independence, psycho-emotional and cognitive state, medical and social factors, cardiovascular risk, hereditary history) is critically important, since carotid atherosclerosis is a systemic disease with a multi-vector impact. The study aims to optimize the system for assessing medical, social, and sociodemographic characteristics in patients with carotid atherosclerosis using validated survey instruments. At the Neurological Pathology Diagnostic Center of the MNPE "Regional Clinical Hospital of the Ivano-Frankivsk Regional Council" for 2022-2024, 84 male individuals were examined. Of these, the study group consisted of 44 patients with clinical signs of carotid atherosclerosis. Forty patients with asymptomatic atherosclerotic lesions of the carotid arteries were selected for the comparison group. The age of men in both cohorts was 50-79 years. The Framingham risk scale for the development of cardiovascular events over the next 10 years was used to assess the medical and social factors of influence. Possible neurological deficit was evaluated according to the results of the National Institutes of Health (NIH) stroke scale for a group of symptomatic patients. Self-care ability was also evaluated according to the 10-point Barthel index. The patient health questionnaire (PHQ-9) was used to assess the psychoemotional state, and the Montreal Cognitive Test (MoCA) was used to analyze cognitive function. The most common comorbidities in both samples were: arterial hypertension – 87,0 %, diabetes mellitus type 2 – 32,1 %, ischemic heart disease – 59,5 %. Smoking was significantly more common in 35 (79,5 %) people from the study group, and a family history of cardiovascular diseases was present in 36 (81,8 %). When testing according to the NIH scale, almost all individuals in the group of symptomatic patients had zero points, with some exceptions, where a few men noted weakness in the legs or mild loss of sensitivity. Alarming complaints in symptomatic patients were short-term loss of consciousness, memory, and vision impairment, decreased skin sensitivity, and decreased vocabulary (according to their own observations), which was the argument for adding an NIH assessment for this category of individuals. According to the Barthel scale, an inverse relationship was observed in both samples between the age of the patients and the ability to perform basic daily activities. In the study group, 32 (72,7 %) and in the comparison group, 25 (62,5 %) individuals showed decreased cognitive functions at 21-25 points. Signs of depression were detected in 29 (65,9 %) men in the study group and 21 (52,5 %) patients in the comparison group. Conclusions. In symptomatic patients with carotid atherosclerosis, a significant influence of the smoking factor (p=0,035) and family history of cardiovascular diseases (p=0,005) was found. In patients of both groups, when assessing functional independence, a decrease in the Barthel index with increasing age was determined, and by using validated scales that allow increasing the reliability of data assessment, patients with decreased cognitive functions and manifestations of depression were identified.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.307
Teacher spread0.275 · 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 designNot applicable
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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