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Updated: Mar 7, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
From mild cognitive impairment to subjective cognitive decline: conceptual and methodological evolution
Yu-Wen Cheng1, Ta-Fu Chen2, Ming-Jang Chiu3
1Department of Neurology, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan.
Identifying early Alzheimer's disease (AD) stages is crucial. Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) represent early stages, but require further research for accurate prediction of AD progression.
Area of Science:
- Neurology
- Neuroscience
- Gerontology
Background:
- Early identification of Alzheimer's disease (AD) is vital for therapeutic interventions and preventing cognitive decline.
- Mild cognitive impairment (MCI) signifies a transitional stage with increased risk for AD biomarkers and conversion to dementia.
- Subjective cognitive decline (SCD) represents an even earlier stage, characterized by self-reported cognitive changes preceding objective test deficits.
Purpose of the Study:
- To explore the significance of subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in the early detection of Alzheimer's disease (AD).
- To review the association between MCI, AD biomarkers, and conversion rates to dementia.
- To discuss the potential of SCD as a preclinical marker for AD, acknowledging its heterogeneous causes.
Main Methods:
- Review of cross-sectional and longitudinal studies on MCI and AD.
- Analysis of clinical trials involving pharmacotherapy for MCI.
- Examination of proposed clinical and biomarker features for predicting AD conversion in SCD subjects.
Main Results:
- MCI is linked to higher AD biomarker prevalence and an annual conversion rate of 5%-17% to AD.
- AD biomarkers in MCI subjects correlate with an elevated risk of dementia progression.
- SCD subjects show an increased risk of underlying AD pathology, though other etiologies exist.
Conclusions:
- MCI and SCD are critical stages for early AD detection, though earlier trials in MCI were disappointing.
- While SCD indicates elevated AD risk, its diverse origins necessitate careful evaluation.
- Further longitudinal research is required to validate predictive features for AD conversion in SCD individuals.
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