Relationship between cerebral microbleeds and cognitive function in lacunar infarct
Bibliographic record
Abstract
OBJECTIVE: Little is known about the impact of cerebral microbleeds on cognitive function. This study investigated the distribution of cerebral microbleeds and their impact on cognitive function, in patients with lacunar infarct. METHODS: Patients with lacunar infarct were enrolled prospectively. Cerebral microbleeds were classified as absent, mild, moderate or severe, based on magnetic resonance imaging findings. Cognitive function was measured using the Montreal Cognitive Assessment (MoCA) questionnaire, with a total score of <26 indicating cognitive impairment. RESULTS: Of the 85 patients included in the study, 35 (41.2%) had cerebral microbleeds. They were more frequently observed in mixed and deep brain regions, but rarely in the cerebral lobes. Multiple logistic regression analysis demonstrated that presence of cerebral microbleeds (odds ratio [OR] 5.320), duration of education (OR 0.938) and age (OR 1.464) were independent predictors of cognitive impairment. There was a significant correlation between cerebral microbleed severity and MoCA score. CONCLUSION: The number and location of cerebral microbleeds were both closely associated with cognitive impairment, in patients with lacunar infarct.
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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 | 0.001 |
| 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".