Neurocognitive predictors of progression from late-life depression to all-cause dementia and Alzheimer’s disease: a systematic review and meta-analysis

Introduction Late-life depression (LLD) is consistently linked with higher risk of subsequent dementia (Livingston G et al. Lancet 2024; 404: 572-628); however, predictors of progression from LLD to dementia are yet to be identified. Objectives In this systematic review and meta-analysis, we focus specifically on cognitive phenotypes of LLD as predictors of progression to dementia. This review aims to summarize findings from longitudinal studies exploring which cognitive domains affected by LLD are more likely to predict progression to all-cause dementia and Alzheimer’s Disease. Methods MEDLINE, Embase and PsycINFO were searched for relevant studies published by April 18 th , 2024. Study search and selection, data extraction and risk of bias assessment were performed by two reviewers separately, in accordance with the updated Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines (Page MJ et al. BMJ 2021; 372). Effect sizes for performance on neurocognitive tests were extracted and pooled separately for all-cause dementia and Alzheimer’s disease (AD) outcomes. Results Six studies were selected for inclusion (See Fig. 1 for PRISMA flowchart). Conversion from LLD to all-cause dementia was strongly predicted by worse performance on delayed recall (SMD 0.84 [0.64 – 1.05]), immediate recall (SMD 1.02 [0.63 – 1.41]), attention/working memory (SMD 1.17[0.82 – 1.52]), processing speed (SMD 1.23 [0.37 – 2.10]), delayed recognition (SMD 1.30 [0.59 – 2.01]) and orientation (SMD 1.13 [0.90 – 1.36]); and moderately by verbal fluency (SMD 0.70 [0.50 – 0.91]), naming (SMD 0.54 [0.16 – 0.93]), and construction (SMD 0.67 [0.37 – 0.98]), but not intelligence (see Fig. 2). For AD, strong effects were observed for deficits in delayed recall (SMD 1.30 [0.59 – 2.01]), immediate recall (SMD 1.26 [0.74-1.79]), and orientation (SMD 1.64 [0.67 – 2.62]), and small to moderate for verbal fluency (SMD 0.47 [0.06 – 0.87]) and processing speed (0.66 [0.26 – 1.07]); attention or naming were not significant predictors (See Fig. 3). Image 1: Image 2: Image 3: Conclusions There appear to be significant neurocognitive differences across a wide range of domains within an episode of LLD between those who convert to dementia and those who do not. Future studies should aim to establish a neurocognitive profile of LLD associated with risk of conversion to specific subtypes of dementia. Disclosure of Interest None Declared

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Journal
European Psychiatry
Published
2025-04-01
DOI
https://doi.org/10.1192/j.eurpsy.2025.736
Primary Topic
Health and Well-being Studies
Type
article
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0.00
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article

Neurocognitive predictors of progression from late-life depression to all-cause dementia and Alzheimer’s disease: a systematic review and meta-analysis

Roopal Desai, Amber John, Georgina Charlesworth, Dag Aarsland et al.
European Psychiatry
Health and Well-being Studies
article

Neurocognitive predictors of progression from late-life depression to all-cause dementia and Alzheimer’s disease: a systematic review and meta-analysis

Roopal Desai, Amber John, Georgina Charlesworth, Dag Aarsland, Allan H. Young, Joshua Stott, Mariia Bocharova
article en

Abstract

Introduction Late-life depression (LLD) is consistently linked with higher risk of subsequent dementia (Livingston G et al. Lancet 2024; 404: 572-628); however, predictors of progression from LLD to dementia are yet to be identified. Objectives In this systematic review and meta-analysis, we focus specifically on cognitive phenotypes of LLD as predictors of progression to dementia. This review aims to summarize findings from longitudinal studies exploring which cognitive domains affected by LLD are more likely to predict progression to all-cause dementia and Alzheimer’s Disease. Methods MEDLINE, Embase and PsycINFO were searched for relevant studies published by April 18 th , 2024. Study search and selection, data extraction and risk of bias assessment were performed by two reviewers separately, in accordance with the updated Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines (Page MJ et al. BMJ 2021; 372). Effect sizes for performance on neurocognitive tests were extracted and pooled separately for all-cause dementia and Alzheimer’s disease (AD) outcomes. Results Six studies were selected for inclusion (See Fig. 1 for PRISMA flowchart). Conversion from LLD to all-cause dementia was strongly predicted by worse performance on delayed recall (SMD 0.84 [0.64 – 1.05]), immediate recall (SMD 1.02 [0.63 – 1.41]), attention/working memory (SMD 1.17[0.82 – 1.52]), processing speed (SMD 1.23 [0.37 – 2.10]), delayed recognition (SMD 1.30 [0.59 – 2.01]) and orientation (SMD 1.13 [0.90 – 1.36]); and moderately by verbal fluency (SMD 0.70 [0.50 – 0.91]), naming (SMD 0.54 [0.16 – 0.93]), and construction (SMD 0.67 [0.37 – 0.98]), but not intelligence (see Fig. 2). For AD, strong effects were observed for deficits in delayed recall (SMD 1.30 [0.59 – 2.01]), immediate recall (SMD 1.26 [0.74-1.79]), and orientation (SMD 1.64 [0.67 – 2.62]), and small to moderate for verbal fluency (SMD 0.47 [0.06 – 0.87]) and processing speed (0.66 [0.26 – 1.07]); attention or naming were not significant predictors (See Fig. 3). Image 1: Image 2: Image 3: Conclusions There appear to be significant neurocognitive differences across a wide range of domains within an episode of LLD between those who convert to dementia and those who do not. Future studies should aim to establish a neurocognitive profile of LLD associated with risk of conversion to specific subtypes of dementia. Disclosure of Interest None Declared

European PsychiatryVol. 68(S1)
University College London (GB)
Openalex Percentile: Top 66%
Health and Well-being Studies
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