Impact of carotid artery revascularization on cognitive function: a study of symptomatic and asymptomatic cases
Bibliographic record
Abstract
Objective To investigate and compare changes in cognitive function following revascularization between patients with symptomatic and asymptomatic carotid stenosis. Methods From April 2019 to April 2022, patients carotid artery stenosis who were treated with carotid endarterectomy (CEA) or carotid artery stenting (CAS) were recruited for this study. The Montreal Cognitive Assessment (MoCA) instrument was used to evaluate cognitive function preoperatively and at 3, 6, and 12 months postoperatively. Patients were divided into two groups based on the neurological symptoms, repeated measures ANOVA was used for comparisons. Results A total of 89 patients who met the criteria were enrolled and completed 1-year follow-up, divided into symptomatic group (32 patients) and asymptomatic group (57 patients). Baseline data showed no significant differences in clinical characteristics between the two groups. At 3, 6, and 12 months after carotid revascularization, the total MoCA and delayed recall scores for both groups showed significant increases compared to baseline levels. In patients with asymptomatic, attention also showed improvement at 3, 6 months compared to baseline ( p < 0.05). Conclusion Carotid revascularization has a positive impact on cognitive function improvement, particularly in delayed recall and attention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".