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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Mild cognitive impairment--a review of prevalence, incidence and outcome according to current approaches

J Bischkopf1, A Busse, M C Angermeyer

  • 1Department of Psychiatry, University of Leipzig, Leipzig, Germany. krausem@medizin.uni-leipzig.de

Acta Psychiatrica Scandinavica
|October 24, 2002
PubMed
Abstract

Insights

Diagnostic criteria for mild cognitive impairment (MCI) lack consensus, increasing dementia risk. This review examines MCI constructs, suggesting standardized terminology and research practices for better diagnosis and prognosis.

Area of Science:

  • Neurology
  • Geriatrics
  • Cognitive Science

Background:

  • Mild cognitive impairment (MCI) is a recognized risk factor for dementia.
  • Current diagnostic criteria for MCI lack universal agreement.
  • Standardized definitions are crucial for accurate diagnosis and prognosis.

Purpose of the Study:

  • To critically review existing constructs of mild cognitive impairment (MCI).
  • To evaluate the empirical evidence supporting different MCI definitions.
  • To propose recommendations for standardized terminology and research practices.

Main Methods:

  • Comprehensive literature search of Medline and other databases.
  • Review focused on papers published within the last 15 years.
  • Analysis of diagnostic criteria, prevalence, incidence, and prognostic significance.

Main Results:

  • Prevalence and incidence rates vary significantly across different MCI constructs.
  • The prognostic value of various MCI definitions regarding dementia development is reported.
  • Recent research on risk factors for MCI progression is summarized.

Conclusions:

  • No single construct currently unifies all efforts in defining MCI.
  • The review advocates for an agreement on constructive terminology.
  • Standardized research practices are recommended to improve MCI diagnosis and management.

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