Influence of Severe Carotid Stenosis on Cognition, Depressive Symptoms and Quality of Life
Bibliographic record
Abstract
Background: Carotid artery disease is not just a causal risk factor of ischemic stroke, but may predispose patients to depressive symptoms and low health related quality of life (HRQoL). Objectives: The objectives of the present study were to assess the association between severe carotid artery stenosis (CAS) and cognitive impairment, frequency of depressive symptoms and status of HRQoL. Methods: Cross - sectional study involved 55 patients with severe CAS and 54 patients with lower extremity peripheral artery disease (PAD). Cognitive impairment was assessed using Montreal Cognitive Assessment Scale (MoCA), depressive symptoms - PHQ-9 scale. HRQoL was measured using Medical Outcome Survey Short Form version 2 (SF-36v2). Results: Median MoCA score 24 [23;26] was significantly lower in patients with severe CAS than in patients with PAD - 26 [25-28],(p=0.005; effect size r=0.3). There was no statistically significant difference of median PHQ-9 scores the in CAS group (median PHQ-9 score 4.0 [5]) and in the PAD group (median PHQ-9 score 5.5 [7]), (p=0.08, effect size r=0.18). Mean SF-36v2 scores were similar in CAS and PAD groups except for bodily pain (p=0.001, Cohen's d value = 0.77) and vitality (p=0.02, Cohen's d value = 0.49). Conclusion: In summary, our findings indicate that severe CAS could play a role in cognitive decline. Further studies should be conducted using larger patient cohorts without ischemic brain lesions and with balanced vascular risk profiles to investigate impact of CAS on cognition. There was no association between severe CAS and depressive symptoms in the present study. As patients with severe CAS did not exhibit physical symptoms, HRQoL was better for those patients than for patients with lower extremity PAD.
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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 | 0.001 |
| Bibliometrics | 0.000 | 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".