A Bahasa Malaysia version of the Montreal Cognitive Assessment: validation in stroke
Bibliographic record
Abstract
BACKGROUND: Many stroke research trials do not include assessment of cognitive function. A Very Early Rehabilitation Trial (AVERT) is an international multicenter study that includes the Montreal Cognitive Assessment (MoCA) as an outcome. At the Malaysian AVERT site, completion of the MoCA has been limited by low English proficiency in some participants. We aimed to develop a Bahasa Malaysia (BM) version of the MoCA and to validate it in a stroke population. METHODS: The original English version of the MoCA was translated into BM and then back-translated to ensure accuracy. Feasibility testing in a group of stroke patients prompted minor changes to the BM MoCA. In the validation phase, a larger group of bilingual stroke patients completed both the original English MoCA and the finalized BM MoCA, with presentation order counter-balanced. RESULTS: Forty stroke patients participated, with a mean age of 57.2 (SD = 10.3). Agreement between BM MoCA and English MoCA was strong (intra-class correlation coefficient = 0.81, 95% CI 0.68-0.90). Scores on BM MoCA were slightly higher than scores on English MoCA (median absolute difference = 2.0, IQR 0-3.5), and this difference was present regardless of which version was completed first. CONCLUSIONS: The existence of a validated BM version of the MoCA will be of major benefit to clinicians and researchers in Malaysia and the wider South-east Asian region, where the Malay language is used by over 200 million people.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".