Impact of Vascular Risk Factors and Diseases on Cognition in Persons with Mild Cognitive Impairment
Bibliographic record
Abstract
BACKGROUND/AIM: To investigate the impact of vascular burden (assessed by the number of vascular risk factors and diseases) on the cognition of persons with amnestic mild cognitive impairment (aMCI). METHODS: This study included 145 participants; 68 meeting criteria for amnesic single-domain or multiple-domain MCI and 77 matched controls. Four cognitive domains were assessed: executive functions, processing speed, episodic memory and general cognitive functioning. RESULTS: A larger vascular burden among aMCI is correlated with lower performance in the executive domain. In addition, persons with aMCI with high vascular burden were more frequently of the multiple domain subtype, whereas persons with no vascular burden were more frequently of the single domain subtype. CONCLUSION: Our findings suggest that the combined effect of multiple vascular risk factors and diseases increases the amount of executive impairment in persons with aMCI. Vascular burden may play an important role in the heterogeneity of aMCI by impairing cognitive functions other than memory.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".