Association Of Cognitive Functions And Covert Brain Ischemia : First Results Of The Pure-Mind Poland Cohort Study
Bibliographic record
Abstract
Introduction: The events of covered cerebral ischemia have been considered relevant causes shaping future cognitive impairments such as Alzheimer's disease.Objectives: To analyse the relationship between the history of cerebrovascular events and psychological factors including cognitive functions in the Polish cohort of the PURE-mind (Prospective Urban and Rural Epidemiological) study.Methods: The study group consisted of 872 subjects (mean age: 61.8 yrs range: 39-81 yrs, F/M: 549/323). All participants were assessed using international PURE-mind protocols including life-style questionnaires, laboratory blood tests and neuropsychological assessment measured with Montreal Cognitive Assessment (MoCA mean score: 25.8), TMT test, Digit Symbol Substitution, followed by structural brain MRI. Results: Previous studies in older populations have reported a significant and consistent cross-sectional association between cognitive impairment and the presence of covert infarcts. Results from present study covered the first detailed analysis and will expand the knowledge of the clinical consequence of covert ischemia also in middle-aged population, when the disease process starts. Detailed assessment of cognitive state will be correlated with imaging findings.Conclusions: The results of the study will be the milestone in identifying high-risk groups of dementia development in Polish society.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".