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Features of cognitive disorders in patients with arterial hypertension of low cardiovascular risk.

2019· article· en· W2954395414 on OpenAlexaboutno aff
Viktoriia Krotova

Bibliographic record

VenueMedicni perspektivi · 2019
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentBlood pressureInternal medicineAnxietyCognitionNeuropsychologyCardiologyNeuropsychological assessmentDiseaseCognitive declineQuality of life (healthcare)Mini–Mental State ExaminationPsychiatryDementia

Abstract

fetched live from OpenAlex

By the WHO data, Ukraine is country number 1 in Europe and number 2 in the world according to the cardiovascular mortality rate. In the structure of the prevalence of cardiovascular diseases in Ukraine, the percentage of persons of working age with arterial hypertension is 36.7%. The improvement of the prognosis of patients with arterial hypertension depends not only on long-term effective control of blood pressure, but the diagnosis and initiation of therapy at the initial stage of the development of the disease, when the target organs have not yet undergone hypertensive damage is also an important condition. The article presents the results of neuropsychological examination of 509 outpatients with a controlled second stage arterial hypertension, with an integrated assessment of cognitive functions using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MCA) methods. It has been established that even in patients with controlled arterial hypertension stage II with a low cardiovascular risk, by SCORE scale cognitive disorders were revealed in 32,2%. The peculiarities of the development of cognitive disorders in arterial hypertension in connection with the history and course of the disease are analyzed. The majority of patients with hypertension have an increased level of anxiety, especially personality, and this is not due to the presence or absence of cognitive disorders. In patients with hypertension and cognitive disorders, on the basis of testing data by the SF-36 scale, there was a significant (p<0.001) decrease in quality of life on all scales as compared with healthy ones on average by 24.5-66.0 points.

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 score0.024
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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