The association between cholesterol levels and brachial/aortic augmentation index versus cognitive status in patients with cardiovascular risk factors
Bibliographic record
Abstract
Cardiovascular pathology appears to have a major impact in cognitive decline, and early identification and correction of cardiovascular morbidity could have a major protective impact on cognitive functioning. However, it is not clear how the risk factors for vascular disease can also be risk factors for a general cognitive decline. Regarding cholesterol, its implications in cognitive decline are not very well understood, considering that a high level of cholesterol has been associated with both an increased and decreased risk of dementia. In the present context, we decided to study correlations between cholesterol concentration and the various subdomains of some main psychometric tests, such as MMSE (Mini-Mental State Examination) and MoCA (The Montreal Cognitive Assessment), as well as some measurements for systemic arterial stiffness (brachial and aortic augmentation index) and how they correlate with the aforementioned psychometric parameters. Our results provide additional evidence for a correlation between cholesterol levels and cognitive subdomains (with special focus on orientation, attention, recent memory and long-term memory). Additionally, a significant correlation was found between the brachial and aortic augmentation index and the results of both MMSE and MOCA tests.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".