Vascular cognitive impairment: epidemiology, subtypes, diagnosis and management
Bibliographic record
Abstract
Dementia occurs after stroke in 25% of patients but also can arise from covert cerebrovascular disease (CVD). 'Silent' lacunes occur in 25% of the elderly, often associated with focal or confluent hyperintensities on T2-weighted magnetic resonance imaging, which are detected in 95% of seniors. These covert infarcts predict future stroke and faster cognitive decline. Best practice guidelines advocate screening for cognitive impairment in all phases of overt stroke, when covert CVD is uncovered, when vascular risk factors are present and if patients present with cognitive complaints. Standardised testing is recommended, emphasising executive function and speed of processing. Cholinesterase inhibitors have cognitive enhancing effects in vascular dementia, but the major thrust is still aggressive management of vascular risk factors and healthy lifestyle choices. Given that mixed Alzheimer's dementia and CVD is likely the most common substrate for dementia and that they share common vascular risk factors, a major goal for vascular medicine is cerebrovascular protection, not just to prevent heart attack and stroke, but also to maintain brain health and delay dementia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".