Study on the related factors of cognitive impairment in cerebral infarction patients with first attack
Bibliographic record
Abstract
Objective To study the related factors of cognitive impairment in cerebral infarction patients with first attack.Methods The lesion volumes and locations(frontal lobe 53 cases,parietal lobe 45 cases,temporal lobe 50 cases,occipital lobe 43 cases,thalamus 33 cases,basal ganglia 174 cases,cerebellum 30 cases and brainstem 8 cases) in patients(n=282) were measured by using CT/MRI techniques(all the patients were right-handed);Cognitive function were tested with Montreal Cognitive Assessment(MOCA) and Hamilton Depression Scale(HAMD).Results ① Cerebral infarction locus in frontal lobe,parietal lobe,temporal lobe,occipital lobe,thalamus and basal ganglia had correlation with obvious cognitive function impairment(P0.05).While,cerebral infarction of cerebellum and brainstem had no correlation with cognitive function impairment.② The lesion volumes had correlation with obvious cognitive function impairment(P0.05).③ There was a significant negative correlation between MOCA score and HAMD score(P0.05),and there were significant differences between normal cognitive function group and cognitive dysfunction group(P0.05).④ Cognitive impairment after stroke showed the features of low lever of education,while patients with long-term and great of alcohol consumption had significant differences of cognitive impairment (P0.05).Conclusion Cognitive dysfunction is a common complication of first-attack patients with cerebral infarction,and cognitive function impairment is related to the locus volumes and locations of cerebral stroke.Patients of first-attack with larger lesion volumes have more serious cognitive impairment,while patients with low lever of education,long-term and great of alcohol consumption or tristimania were more likely hadcognitive impairment.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".