The Role of Suboptimal Home-Measured Blood Pressure Control for Cognitive Decline
Bibliographic record
Abstract
AIM: We aim to analyze if there is any correlation between suboptimal home-/self-measured blood pressure values and the results from neuropsychological screening tests for early cognitive impairment. METHODS: We studied 325 patients with treated hypertension. Mean age was 66.12 (±10.1) years. There were 119 (36.6%) male and 206 (63.4%) female patients, among them 52 (16%) with atrial fibrillation. Neuropsychological tests performed were the Mini-Mental State Examination, Montreal Cognitive Assessment, and Hachinski Ischemic Score; additionally, home-measured blood pressure was used. RESULTS: There is a nonlinear age- and risk factor-dependent correlation between early stages of cognitive impairment and suboptimal home-measured blood pressure. CONCLUSION: The use of specific and sensitive neuropsychological tests for early cognitive impairment in patients with suboptimal home-measured blood pressure is effective in the everyday practice.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".