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Updated: Oct 2, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Rapid cognitive assessment tools for screening of mild cognitive impairment in the preoperative setting: A systematic
Jason Tran1, Tristen Nimojan2, Aparna Saripella2
1Department of Medicine, University of Ottawa, Ottawa, Canada.
Importance:
Mild cognitive impairment (MCI) is a high-risk precursor to dementia, post-operative delirium, and prolonged hospitalization. There is a need for preoperative rapid cognitive screening tools.
Study Objective:
To evaluate the predictive parameters of rapid MCI screening tools in different clinical settings for preoperative application.
Design:
Systematic review and meta-analyses searching Medline, and other databases from inception to May 26, 2021. The Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines were followed for data curation and quality assessment. Title and abstract screening were conducted independently via Rayyan. Data was curated through a random-effects model and statistical analysis used R-software.
Setting:
Community, memory clinic, emergency, long-term care, and in-patient settings. There were no studies in the preoperative setting.
Patients:
Twenty-three studies with 9973 patients (≥ 60 years old) undergoing rapid MCI screening.
Intervention:
Rapid (≤ 5 min) MCI screening tools.
Measurements:
Pooled predictive parameters (sensitivity, specificity) of screening tests.
Main Results:
Eighteen screening tools, compared to neuropsychological tests, were identified. The overall prevalence of MCI among the Rapid Cognitive Screen (RCS), Six-item Screener (SIS), Mini-Cog, and Clock Drawing Test (CDT) studies were 24.6%, 28.3%, 40.9%, and 20.7%, respectively. RCS has 82% sensitivity and 79% specificity in detecting MCI. SIS has 61% sensitivity and 89% specificity. Mini-Cog has 52% sensitivity and 80% specificity. CDT has 56% sensitivity and 59% specificity. Seven other index tools had high sensitivities of 97%-82% and specificities of 90%-73% but were studied only once.
Conclusion:
No rapid screening tools had been validated in the surgical population. In other populations, RCS may be a promising screening tool for MCI with stronger sensitivity and specificity than Mini-Cog, SIS, and CDT. CDT alone is ineffective for MCI detection. Further validation in the preoperative setting is required to determine the efficacy of these screening tools.
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