The Montreal Cognitive Assessment—Basic: A Screening Tool for Mild Cognitive Impairment in Illiterate and Low‐Educated Elderly Adults
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To assess the validity of a newly developed cognitive screening tool, the Montreal Cognitive Assessment-Basic (MoCA-B), in screening for mild cognitive impairment (MCI) in elderly adults with low education and varying literacy. DESIGN: Cross-sectional. SETTING: Community hospital in Bangkok, Thailand. PARTICIPANTS: Cognitively normal controls (n = 43) and individuals with MCI according to the National Institute on Aging-Alzheimer's Association work group criteria (n = 42) aged 55 to 80 with less than 5 years of education. MEASUREMENTS: MoCA-B scores. RESULTS: Mean MoCA-B scores were 26.3 ± 1.6 for illiterate controls and 21.3 ± 3.8 for illiterate participants with MCI (P < .001) and 26.6 ± 2.0 for literate controls and 23.0 ± 2.1 for literate participants with MCI (P < .001). MoCA-B scores did not differ significantly according to literacy, and multiple regression suggested no association with age or education. The optimal cutoff score of 24 out of 25 yielded 81% sensitivity and 86% specificity for MCI (area under the receiver operating characteristic curve = 0.90, P < .001). Test-retest reliability was 0.91 (P < .001), and internal consistency was 0.82. Administration time was 15 to 21 minutes. CONCLUSION: The MoCA-B appears to have excellent validity and addresses an unmet need by accurately screening for MCI in poorly educated older adults regardless of literacy.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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