Puntuaciones del MoCA y el MMSE en pacientes con deterioro cognitivo leve y demencia en una clínica de memoria en Bogotá
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction. Some cognitive tests allow the evaluation of cognitive functions on the elderly in a short period of time. There are few studies in Colombia about cut-off point for the MMSE and the MoCA test. Objectives. To describe the distribution on scores on MMSE and MoCA test and the cut-off point with a better discrimination criteria for the diagnosis of mild cognitive impairment and dementia, in a sample of patients from Bogota. Materials and methods. Two hundred forty eight patients were included in this study, being evaluated by a multidisciplinary team that followed an established protocol, on patients who attended to the Memory Clinic of HIUSJ between 2009-2012. MoCA test and MMSE scores that allow higher percentages of correctly classified patients were identified. Results. Seventy percent of patients with mild cognitive impairment and 69% of normal individuals had scores on MMSE below or equal to 28. Ninety-one percent of patients with MCI and 89% of normal patients, had scores below or equal to 25. Patients with any type of dementia had scores on MMSE below or equal to 27 and below or equal to 24 in MoCA test. Conclusion. According to the study, the screening of cognitive functions, using MoCA test, is more accurate than MMSE in patients with cognitive decline. The cut-off points, identified in our study, can be considered useful until now in primary attention, in patients with a high level of education.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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