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Updated: Jan 3, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The Turkish Version of the Telephone Cognitive Screen for Detecting Cognitive Impairment in Older Adults
Mehmet Ilkin Naharci1, Fatih Celebi1, Ekin Oktay Oguz1
1Division of Geriatrics, Gulhane Faculty of Medicine & Gulhane Training and Research Hospital, University of Health Sciences, Ankara, Turkey.
Abstract:
The ability to screen Turkish-speaking older adults for cognitive impairment by phone is lacking. The aim of this study was to translate the existing version of the telephone cognitive screen (T-CogS) into Turkish version (T-CogS-TR) and evaluate its reliability and validity in community-dwelling older adults. We prospectively recruited 104 community-dwelling participants with mild to moderate Alzheimer's disease (AD) and healthy controls. The T-CogS-TR was administered twice via telephone at home, first within 3 days of an in-person administration and again 4 weeks later. We observed acceptable internal consistency (Cronbach α coefficient = 0.738) and internal reliability. The test-retest reliability was excellent. The T-CogS-TR demonstrated significant correlations with Instrumental Activities of Daily Living, Mini-Mental State Examination, Clock-Drawing Test, and Clinician Dementia Rating (P's < .0001). The cutoff value of ≤22 exhibited sensitivity of 96.8%, specificity of 90.2%, positive predictive value of 93.9%, and negative predictive value of 94.9%. The T-CogS-TR can be useful as a valid and reliable tool for detecting AD in Turkish elderly patients. Also, this tool may be considered suitable for patients who need more frequent follow-up and cannot easily return to in-person visits.
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