Relationship between degree and site of carotid stenosis and cognitive impairment
Bibliographic record
Abstract
Objective To investigate the relationship between degree and site of carotid stenosis and cognitive impairment.Methods The cognitive function were evaluated with the montreal cognitive assessment(MoCA) in 52 patients with transient ischemic attack(TIA) and 39 patients with lacunar cerebral infarction,and the MoCA scores were compared between the patients with different degree and site of carotid stenosis.Results The sentence retelling score in left carotid stenosis patients was significantly lower than right carotid stenosis patients(P0.01);and the scores of alternate link,copy the cube,drawing clock and delayed recall were significantly higher than right carotid stenosis patients(P0.05-0.01).There was no statistical significance of the MoCA score between the patients with moderate and severe stenosis.Compared with right moderate stenosis and severe stenosis patients,the sentence retelling score in left moderate stenosis and severe stenosis patients were significantly lower(all P0.01);and copy the cube,drawing clock scores were significantly higher(P0.05-0.01).The delayed recall scores in left moderate stenosis patients was significantly higher than severe stenosis patients(P0.01)Conclusions There is language ability damage especially in left carotid stenosis;and there are execution function,visuospatial ability and delayed recall damage especially in right carotid stenosis.The degree of carotid artery stenosis has no obvious relation to cognitive impairment.
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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 | 0.000 | 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) | 0.003 | 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".