COGNITIVE FUNCTION IN HYPERTENSIVE PATIENTS WITH DIFFERENT TYPES OF CAROTID LESIONS
Bibliographic record
Abstract
Objective: The aim of our research was to study the cognitive function and its relation with the types of carotid arteries lesions (CL) in patients with hypertension. Design and method: 67 hypertensive patients (35 men and 32 women) were examined (median age 51 [45;55] y., hypertension duration 3 [2;5] y). Cognitive function was assessed by the Montreal Cognitive Rating Scale (MoCA). The subjects underwent duplex scanning of the carotid arteries on a Samsung HS50 2021. The results were statistically processed using Statistica 10 program. Results: The patients included in the study were divided into 4 groups according to the type of CL: group 1 (n = 39) without pathological carotid tortuosity (PCAT) and atherosclerotic plaques (AP); group 2 (n = 11) with PCAT, but without AP; group 3 (n = 11) with AP<70% stenosis and without PCAT, and group 4 (n = 6), which has both PCAT and AP<70% stenosis. The groups did not differ significantly in gender and age (p>0.05). Cognitive function levels were significantly higher in group 1 (28[26;29] points) when compared with group 2 (20[19;20] points, p = 0.000001), with group 3 (24[20;26] points, p = 0.00004), and with group 4 (19[19;23] points, respectively, p = 0.00009). In group 2 the MoCA level was significantly lower than in group 3 (p = 0.019). The lowest MoCA level was in group 4, though but because of the small sample of patients, the differences did not reach the level of statistical significance (p>0.05, when compared with group 2). The MoCA level was in negative correlation with the presence of CL (PCAT + AP) (r = -0.77; p<0.05). A similar correlation between the MoCA level and PCAT was in group 2 (r = -0.81; p<0.05). Conclusions: In patients with hypertension, there is a negative correlation between the cognitive function and the presence of different variants of carotid lesions. The most severe decline of cognitive function was observed in hypertensives with both atherosclerotic plaques and pathological carotid tortuosity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".