Screening the cognitive impairment among older outpatient population of a general hospital and comparison of the MoCA and MMSE tests
Bibliographic record
Abstract
Objectives: To examin the random non- clinically recognized cognitive impairment of 300 individuals admitted to a general hospital, to determine the sensitivity and specificity of the Montreal Cognitive Assessment scale (MoCA) as a screening tool in Greek elder population. To investigate the predictive value of sociodemographic- health variables on participants’ performance. Methods: MoCA was used as the essential cognitive assessment tool and after, the Mini Mental State Examination scale (MMSE) was administered. IPAQ scale evaluated physical activity and Hamilton Depression rating scale was used to identify patients with depression and exclude them. Results: Mean age was 65.4 years. Comorbidities were present in 76.7%. Agreement between the results of MMSE and MoCA test was found in 43.3% of the cases. Subjects with moderate or high physical activity levels had 48% lower odds for having cognitive impairment. Conclusion: Education and physical activity enhance the prevention of cognitive decline. MoCA test demonstrated a superior sensitivity to detect mild cognitive impairment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".