VALIDATION OF THE BRAZILIAN ALTERNATIVE VERSION OF THE MONTREAL ASSESSMENT (MOCA): PILOT STUDY
Bibliographic record
Abstract
The Montreal Cognitive Assessment (MoCA) is a screening tool designed to detect mild cognitive impairment (MCI). The current version used in Brazil, MoCA-BR, did not have a reliable cross-cultural adaptation to Brazilian Portuguese and has structural aws that might lead to a higher rate of false-positives. In previous stages of this study, the Alternative Version of the MoCA-BR was developed, with changes in the sections: Memory and Delayed Recall, Language and Naming. to verify the inuence of cross-cultural Objectives: adaptation on the performance of cognitive tools, and the applicability and internal accuracy of the Alternative Version of the MoCA-BR. a pilot, prospective, monocentric, longitudinal, Methods: and analytical study. Both versions of the test were applied in a randomized and cognitively healthy population, between 18 and 60 years, within a medium interval of 54,56 days (median = 32 days) between the questionnaires. out of 104 part Results: icipants, 70 were included (64.3% female, 40.2 years). The alternative version was superior in the naming domain (p < 0.001), and in the adapted sentence within the language domain (p = 0.003). There were no signicant differences within the delayed recall domain. The alternative version showed good internal consistency, with a Cronbach's alpha coefcient of 0.75. The cut-off point suggested by the study is 27 points, with sensitivity and specicity of 91.3% and 79.2%, respectively. Cultural factors affect the accuracy of cognitive tests, and Conclusions: adaptation is essential for their use in different countries.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".