The combined effects of acute first ever lacunar infarction and cerebral white matter lesions on cognitive function impairment
Bibliographic record
Abstract
Objective To investigate the association between the cognitive function impairment and patients with both acute first ever lacunar infarction and cerebral white matter lesions.Methods According to MRI T2 weighted-imaging and FLAIR imaging,137 patients were classified into 3 groups:(lacunar infarction,LI),(white matter lesions,WML),LI and WML.Thirty normal persons were regarded as control group.Cognitive performance was assessed with Montreal Cognitive Assessment at presentation.Results Compared with control subject,group with WML had significantly low scores in memory and language;group with LI had significantly low scores in calculation,language and executive function;group with both LI and WML had significantly low scores in memory,visual spatial and executive function(P0.01).The patients in group with both LI and WML performed poorer in the executive function(P0.01).Conclusions Patients with both LI and WML undergo cognitive fuction impairment,especially in memory,visual spatial and executive function.MoCA have a great advantage of assessing cognitive impairment caused by subcortical ischemic vascular disease.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".