Validation of the Turkish Version of the Montreal Cognitive Assessment Scale (MoCA-TR) in Patients With Parkinson’s Disease
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Bibliographic record
Abstract
The study aimed to examine the reliability and validity of the Turkish version of the Montreal Cognitive Assessment Scale (MoCA-TR) as a screening tool for cognitive dysfunction in Parkinson's disease (PD). A total of 50 patients with PD and 50 healthy controls were included. The screening instruments-MoCA-TR followed by the Mini-Mental Status Examination (MMSE-TR) and MoCA-TR retest within 1 month-and detailed neuropsychological testing were administered to the PD patients. MoCA-TR and MMSE-TR were also administered to controls. The discriminant validities of the MoCA-TR and MMSE-TR as screening and diagnostic instruments were ascertained. The concurrent and criterion validity, test-retest reliability, and internal consistency of the MoCA-TR and MMSE-TR were examined. The Cronbach's alpha of the MoCA-TR as an index of internal consistency was 0.664, and the test-retest reliability of MoCA-TR was 0.742. With a cut-off score of < 21 points, the MoCA-TR showed sensitivity of 59% and specificity of 89% in the detection of cognitive dysfunction in PD. The area under the receiver-operating characteristics curve (95% confidence interval) for MoCA-TR was 0.794 (0.670-0.918), p<.001. The present results indicated that the MoCA-TR has acceptable psychometric properties and it should be used to assess mild cognitive impairment and early dementia in PD patients, whereas the MMSE-TR should remain the instrument of choice to assess cognitive impairment in PD dementia.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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