Effects of silent cerebral infarction on cognitive function in patients with first-ever acute ischemic stroke
Bibliographic record
Abstract
Objective To prospectively investigate the influence of silent cerebral infarction(SCI) on cognition outcome of first ever acute ischemic stroke patients.Methods Patients with first-ever acute ischemic stroke in 14 days were consecutive recruited.All patients completed MRI brain scan and the results were reviewed blindly by two neurology physicians.According to MRI,the patients were divided into 2 groups: acute ischemic stroke patients with SCI and those without SCI.The cognitive state was evaluated by Chinese version of Montreal Cognitive Assessment and Mini-mental State Examination at 2 weeks and 3 months after stroke onset.Results Eighty-seven patients were involved in this study and 73.6% patients completed 3 month follow-up.At the early stage and 3 months after acute ischemic stoke,there was no significantly difference in the rates of vascular cognitive impairment with no dementia(54.7% vs.76.4% and 54.1% vs.66.7%) and vascular dementia(28.3% vs.11.8% and 13.5% vs.7.4%) and in Montreal cognitive assessment(median 19 vs.22 and 22 vs.25) between patients with SCI and those without SCI(all P 0.05).The number of SCI lesion was a risk factor of dementia 3 months after ischemic stroke(OR 1.22,95% CI 1.02 ~ 1.45).The global cognitive function,visuopatial/executive function,memory and abstraction significantly improved in the patients without SCI,but not in those with SCI at 3 months after ischemic stroke(all P 0.05).Conclusions The number of SCI lesion is a risk factor of dementia and SCI has negative influence on the improvement of global cognitive function,the visuopatial/executive function,attention and abstraction ability after stroke.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".