Bibliographic record
Abstract
Objectives: One of the most important and common consequences of ischemic stroke is the cognitive impairment observed after stroke. This study aimed to investigate the role of strategic stroke among post-stroke cognitive impairment using the Montreal Cognitive Assessment Scale (MOCA). Methods: This study was planned as a prospective cross-sectional study. Patients admitted between 3 and 12 months after stroke were included in the study. Patients who had a stroke at least 3 months ago, who had not been admitted for a year after the stroke, and who gave consent to participate in the study were considered as inclusion criteria. Results: This study included 45 (44.1%) females and 57 (55.9%) males. When evaluated in terms of comorbidity, the frequency of hyperlipidemia was found to be significantly higher in the cognitively impaired group (46.5% vs. 25.4%, P=0.027). Thyroid stimulating hormone (TSH) levels were found to be lower in the Cognitive Impairment Group (0.93 μIU/mL vs. 1.03 μIU/mL, P=0.021). Considering the finding rates and significance level of lesion sites between the groups, the strategic infarction rate was found to be significantly higher in the cognitively impaired group (62.8% vs. 33.9%, P=0.004). In cognitive tests, the cognitive impairment group showed significantly lower performance in all areas (P<0.05). Conclusions: It should be kept in mind that the MOCA scale can be a good evaluation scale in detecting patients with cognitive impairment after ischemic stroke.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".