Screening for mild cognitive impairment among older Albanian patients by clinical pharmacists
Bibliographic record
Abstract
OBJECTIVES: To assess the prevalence of mild cognitive impairment (MCI) and its correlated factors among elderly Albanian patients using different screening tools applied by clinical pharmacists. METHODS: Patients aged 60 years old or more from two primary care centers located in two Albanian cities were included in the study. Two clinical pharmacists applied the MoCA/MoCA B (Montreal Cognitive Assessment/Basic) and the Mini-Cog in Albanian. A predictive multivariate logistic regression analysis and Kappa statistic were conducted. KEY FINDINGS: The prevalence of MCI using MoCA/MoCA B and Mini-Cog scales was 75.73 and 20.39%, respectively. There was a poor degree of agreement between them (Kappa 2.38). Older men had an increased risk of MCI. CONCLUSIONS: The involvement of clinical pharmacists in screening for MCI might help in selecting vulnerable individuals for more specialized examination. The MoCA/MoCA B tool is recommended for higher sensitivity.
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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 | 0.001 | 0.005 |
| 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 | 0.002 |
| Open science | 0.000 | 0.000 |
| 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".