Montreal Cognitive Assessment in a Greek sample of patients with multiple sclerosis: A validation study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Montreal Cognitive Assessment (MoCA) is a brief cognitive instrument for the measurement of dementia. The aim of the present study was to measure the sensitivity of this test in a group of Greek speaking participants diagnosed with multiple sclerosis. 40 MS participants complaining for cognitive dysfunction were matched in age and education to 490 healthy participants. The MoCA test and a neuropsychological test battery were administered to both groups. The MoCA test was found to differentiate the MS from the controls (U = 3761.00, p < .001) and it was correlated with all neuropsychological tests (digit span: r = 0.454, p < .0001; phonemic verbal fluency: r = 0.390, p < .0001; semantic verbal fluency: r = 0.319, p < .0001; Color Trails Test 1 (CTT1): r = −.256, p < .0001; Color Trails Test 2 (CTT2): r = −.321, p < .0001). Multiple regression analysis showed that 10.3% of the variation in the MoCA score was accounted for by the Expanded Disability Status Scale (EDSS) total score. Also, the test showed high discriminant validity (optimal screening cut off point 25, sensitivity 0.68, specificity 0.89). MoCA is a sensitive test to differentiate cognitive impairment in Greek speaking MS participants from healthy controls. Further research is needed to use it in larger clinical samples and in different subtypes of the disease.
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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) | 0.001 | 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 it