Brief cognitive tests validated in Peru for detection of cognitive impairment A systematic mapping of the scientific literature
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Updated: Dec 17, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Nilton Custodio1,2,3, Eder Herrera-Pérez2,4, Rosa Montesinos2,3,5
1Servicio de Neurología, Instituto Peruano de Neurociencias, Lima, Perú.
Abstract:
Brief cognitive tests (BCTs) are necessary for early detection of cognitive impairment, particularly in primary care settings.
Objective:
This report describes a systematic review of BCTs evaluated in Peruvian populations.
Methods:
We used systematic mapping techniques to identify articles on screening tests for cognitive impairment involving Peruvian subjects. We included studies published in English and Spanish up to 2018. We reviewed 6 reference databases within the Virtual Health Library network, as well as the Web of Science, Scopus (MEDLINE), and EMBASE databases.
Results:
Ten out of 447 articles met the inclusion criteria. Studies included both outpatient (9) and community-based (2) samples. Eligibility criteria of the studies were similar. Although different protocols were applied, the diagnostic criteria were standardized. For discrimination between dementia and controls, IFS (AUC: 0.99) and ACE (AUC: 0.95 to 1.00) showed superior performance, as did the M@T (AUC: 1.00) and CDT-Mv (AUC: 0.94 to 1.00) for discriminating between Alzheimer's disease (AD) and controls.
Conclusion:
The available evidence is limited. However, our analysis of national data suggests that the ACE may be a good choice whenever it can be applied to Peruvian patients. Alternatively, the M@T and IFS can be used for screening patients with suspected AD or FTD, respectively.
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