Related Experiment Video
Updated: Mar 13, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Screening of cognitive impairment in the old and old-old population with the 3-CT scale]
D A Gutorova1, E E Vasenina2, O S Levin2
1Hospital of Veterans of War #1, Moscow, Russia; Russian Medical Academy of Postgraduate Educational Studies, Moscow, Russia.
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.
More Related Videos
06:58Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
Published on: January 24, 2020
06:23The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
Published on: October 13, 2016
