Screening of cognitive impairment in the old and old-old population with the 3-CT scale
Bibliographic record
Abstract
AIM: To determine sensitivity and specificity of the 3-CT scale, a combination of 3 simple and minimum cost tests, for screening purposes in old and old-old patients in comparison to the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). MATERIAL AND METHODS: The study included 106 patients. Assessment of sensitivity and specificity of neuropsychological testing with ROC-curves was used. RESULTS: MoCA showed moderate sensitivity (0.65) and specificity (0.78), with cutoffs interval <19. When adjusted for education, the sensitivity increased to 96.7% while specificity decreased to 2.9%. The same result was observed for MMSE (sensitivity 0.65; specificity 0.72). All subtests of 3-CT showed moderate sensitivity and specificity, but the sum of 3 subtest scores (delaying recall in visual memory test, clock drawing test and semantic fluency test) demonstrated good sensitivity (0.833) and specificity (0.944). CONCLUSION: 3-CT is a simple and effective instrument for screening of cognitive impairment in the old and old-old population.
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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 | 0.000 |
| 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".