Rapid communication: Preliminary validation of a telephone adapted Montreal Cognitive Assessment for the identification of mild cognitive impairment in Parkinson’s disease
Bibliographic record
Abstract
Objective: In the current pandemic, tele-screening of neuropsychological status has become a necessity. Instruments developed for telephone screening are not as well validated as traditional neuropsychological measures. Therefore, the current study presents preliminary validation of a telephone version of the Montreal Cognitive Assessment (T-MoCA) in individuals with Parkinson’s disease (PD).Method: Twenty-one persons with PD completed the T-MoCA along with a traditional neuropsychological battery. Diagnostic accuracy for the presence of PD-related mild cognitive impairment (MCI) and correlations with traditional neuropsychological measures are reported.Results: Individuals with MCI (n = 9) scored lower than individuals without cognitive impairment (17.56 vs. 19.50; t = −2.28, p = .03, d = –1.00). Diagnostic accuracy for MCI ranged from 76% to 81%, with sensitivity ranging from 0.56 to 0.67 and specificity ranging from 0.92 to 1.00. Correlations of T-MoCA derived scores with traditional neuropsychological measures were quite modest, with the exception of the memory impairment scale.Conclusions: This rapid communication presents preliminary validation of the T-MoCA for use in individuals with PD. Caveats and implications for practical use in the current pandemic are discussed.
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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 | 0.002 | 0.002 |
| 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 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".