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Updated: Aug 22, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Do informant-reported subjective cognitive complaints predict progression to mild cognitive impairment and dementia
Lucía Pérez-Blanco1, Alba Felpete1, Scott B Patten2
1Department of Developmental Psychology, Universidade de Santiago de Compostela, Xosé María Suárez Núñez Street, Campus Sur, Santiago de Compostela, Galicia ES 15782, Spain.
Background:
Subjective cognitive complaints (SCCs) are considered a risk factor for objective cognitive decline and conversion to dementia. The aim of this study was to determine whether self-reported or informant-reported SCCs best predict progression to mild cognitive impairment (MCI) and/or dementia.
Methods:
We reviewed prospective longitudinal studies of Cognitively Unimpaired (CU) older adults with self-reported and informant-reported SCCs at baseline, assessed by questions or questionnaires that considered the transition to MCI and/or dementia. A random-effects meta-analysis was performed to obtain pooled estimates and 95% CIs.
Results:
Both self-reported and informant-reported SCCs are associated with an elevated risk of transition from CU to MCI and/or dementia. The association appears stronger and more robust for informant-reported data [1.38, with a 95% CI of 1.16 -1.64, p < 0.001] than for self-reported data [1.27 (95% CI 1.06 - 1.534, p = 0.011].
Conclusions:
Our results suggest that corroborated information from one informant could provide important details for distinguishing between normal aging and clinical states.
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