Assessment of Early Cognitive Impairment of Patients with First Attack of Small Artery Occlusion
Bibliographic record
Abstract
Objective To evaluate the early cognitive impairment of patients with first attack of small artery occlusion( SAO). Methods Totally 82 inpatients with first attack of SAO were enrolled from January 2010 to June 2012 as the subjects, and 55 healthy persons were concurrently recruited as the controls. The Mini- Mental State Examination( MMSE) and Montreal Cognitive Assessment( MoCA) were used to assess their cognitive functions. Results The MMSE score was( 28. 08 ± 1. 12) in the patients and( 28. 78 ± 1. 99) in the controls,with no significant difference( P 0. 05). But a significant difference in MoCA score between the two groups was found,( 16. 25 ± 6. 08) vs( 26. 33 ± 1. 94)( P 0. 05). In MoCA,the scores of visuospatial function and executive function,attention and delayed memory showed statistically significant differences between the two groups( P 0. 05); but no significant difference was found at naming, speech, abstracting, and origination power( P 0. 05). Conclusion The SAO patients had some cognitive impairment at the early stage of the disease. MoCA was more sensitive than MMSE in detecting cognitive impairment,was more suitable for screening the SAO patients' early cognitive 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 | 0.001 |
| 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) | 0.001 | 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".