Application of Stroop color-word test on Chinese elderly patients with vascular cognitive impairment no dementia
Bibliographic record
Abstract
Objective:To investigate the applicability of Chinese version Stroop color-word test(CWT) to Chinese elderly patients with vascular cognitive impairment no dementia(VCIND).Methods:43 patients with VCIND and 35 age-,sex-and education-matched healthy controls were examined using montreal cognitive assessment,stroop color-word test and clinical dementia rating(CDR) etc.Results:Compared with normal control(NC) group,patients with VCIND took longer time(P0.01) and their score was lower(P0.05) in the C part of stroop color-word test;patients with VCIND took longer time than NC(P0.05),but the score difference was not statistically significant(P0.05) in the B part,and the difference in A part was either(P0.05).Conclusion:Stroop color-word test can find executive function impairment of patients with VCIND and it is helpful for early detection.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 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".