Validation of the Czech Montreal Cognitive Assessment for Mild Cognitive Impairment due to Alzheimer Disease and Czech Norms in 1,552 Elderly Persons
Bibliographic record
Abstract
BACKGROUND: The Czech version of the Montreal Cognitive Assessment (MoCA-CZ) and delayed recall of 5 words have not been validated in patients with mild cognitive impairment (MCI) due to Alzheimer disease (AD) and compared to norms of a large population. METHOD: The MoCA-CZ was administered to 1,600 elderly individuals in 2 groups consisting of 48 patients with MCI due to AD (AD-MCI) and 1,552 normal elderly adults. RESULTS: MoCA-CZ scores were significantly lower in the AD-MCI patients than in the normal elderly (21 ± 4 vs. 26 ± 3 points; p = 0.03). Under the recommended cutoff score of ≤25, the MoCA-CZ demonstrated an excellent sensitivity of 94% but a low specificity of 62%. When the score was reduced to ≤24, the MoCA-CZ showed an optimal sensitivity of 87% for AD-MCI and a specificity of 72%. Normal elderly persons should recall at least 2 words after delay (sensitivity 80%, specificity 74%). Several cutoff points were derived from normative data stratified by age and education. CONCLUSIONS: The cutoff for AD-MCI and stratified norms are available for the MoCA total score and delayed recall of the Czech version. The cut-off scores of the MoCA-CZ, sensitivity, and specificity are lower than in the original study.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".