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Updated: Jun 25, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Screening for mild cognitive impairment: a systematic review
Jane A Lonie1, Kevin M Tierney, Klaus P Ebmeier
1Division of Psychiatry University of Edinburgh, Royal Edinburgh Hospital, Edinburgh UK.
Cognitive screening tools can detect mild cognitive impairment (MCI) and early dementia. However, current instruments cannot reliably predict MCI
Area of Science:
- Gerontology
- Neuropsychology
- Psychiatry
Background:
- Mild cognitive impairment (MCI) is a common reason for referrals to old age psychiatry and memory clinics.
- Current cognitive evaluations often use brief dementia screens not optimized for MCI assessment.
- There is a need to evaluate the suitability of cognitive screening instruments for MCI.
Purpose of the Study:
- To review the utility of cognitive screening instruments for assessing mild cognitive impairment (MCI).
- To provide an overview of validated cognitive screening instruments for MCI.
Main Methods:
- A literature search was conducted for papers published after 1999 using terms like 'mild cognitive impairment' and 'cognitive screening'.
- The search included 39 specific screening tests identified in a previous review.
- Studies examining face-to-face cognitive screening for MCI were included.
Main Results:
- Fifteen cognitive screening instruments were identified; 11 assessed a limited range of cognitive domains.
- High sensitivity and specificity for MCI were reported for four instruments, but only one had adequate reliability.
- Most studies had small sample sizes, and prognostic values were reported for only two instruments.
Conclusions:
- Several cognitive screening instruments can detect MCI, early Alzheimer's disease (AD), and some non-AD dementias.
- These instruments cannot reliably predict the course or outcome of MCI.
- Further research is needed on the specificity and predictive validity of these screening tools.
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