Meta-Analysis of Cognition in Parkinson's Disease Mild Cognitive Impairment and Dementia Progression
Elizabeth R Wallace1, Suzanne C Segerstrom2, Craig G van Horne3,4
1Department of Psychology, University of Kentucky, Lexington, KY, USA. liz.wallace@uky.edu.
Abstract:
Mild cognitive changes, including executive dysfunction, are seen in Parkinson's Disease (PD). Approximately 30% of individuals with PD develop Parkinson's disease dementia (PDD). Mild cognitive impairment (MCI) has been identified as a transitional state between normal cognition and dementia. Although PD-MCI and its cognitive correlates have been increasingly studied as a risk indicator for development of PDD, investigations into the PD-MCI construct have yielded heterogeneous findings. Thus, a typical PD-MCI cognitive profile remains undefined. The present meta-analysis examined published cross-sectional studies of PD-MCI and cognitively normal PD (PD-CN) groups to provide aggregated effect sizes of group test performance by cognitive domain. Subsequently, longitudinal studies examining PD-MCI to PDD progression were meta-analyzed. Ninety-two cross-sectional articles of PD-MCI vs. PD-CN were included; 5 longitudinal studies of PD-MCI conversion to PDD were included. Random effects meta-analytic models were constructed resulting in effect sizes (Hedges' g) for cognitive domains. Overall performance across all measures produced a large effect size (g = 0.83, 95% CI [0.79, 0.86], t2 = 0.18) in cross-sectional analyses, with cognitive screeners producing the largest effect (g = 1.09, 95% CI [1.00, 1.17], t2 = 0.19). Longitudinally, overall measures produced a moderate effect (g = 0.47, 95% CI [0.40, 0.53], t2 = 0.01), with measures of executive functioning exhibiting the largest effect (g = 0.70, 95% CI [0.51, 0.89], t2 = 0.01). Longitudinal effects were made more robust by low heterogeneity. This report provides the first comprehensive meta-analysis of PD-MCI cognitive outcomes and predictors in PD-MCI conversion to PDD. Limitations include heterogeneity of cross-sectional effect sizes and the potential impact of small-study effects. Areas for continued research include visuospatial skills and visual memory in PD-MCI and longitudinal examination of executive dysfunction in PD-MCI.
Insights
This meta-analysis defines the cognitive profile of mild cognitive impairment in Parkinson's Disease (PD-MCI). Executive dysfunction is a key predictor of progression to Parkinson's disease dementia (PDD).
Area of Science:
- Neuroscience
- Cognitive Neurology
- Geriatric Psychiatry
Background:
- Parkinson's Disease (PD) is associated with mild cognitive changes, including executive dysfunction.
- Approximately 30% of individuals with PD progress to Parkinson's disease dementia (PDD).
- Mild Cognitive Impairment (MCI) serves as a transitional state, and Parkinson's Disease Mild Cognitive Impairment (PD-MCI) is a recognized risk factor for PDD.
Purpose of the Study:
- To define the typical cognitive profile of PD-MCI by aggregating data from cross-sectional studies.
- To identify cognitive predictors of progression from PD-MCI to PDD using longitudinal studies.
- To provide comprehensive meta-analytic effect sizes for cognitive domains in PD-MCI.
Main Methods:
- A meta-analysis of 92 cross-sectional studies comparing PD-MCI and cognitively normal PD (PD-CN) groups.
- A meta-analysis of 5 longitudinal studies tracking PD-MCI conversion to PDD.
- Random effects models were used to calculate aggregated effect sizes (Hedges' g) for cognitive domains.
Main Results:
- Cross-sectional analyses revealed a large overall effect size (g = 0.83), with cognitive screeners showing the largest effect (g = 1.09).
- Longitudinal analyses indicated a moderate overall effect size (g = 0.47), with executive functioning measures demonstrating the largest effect (g = 0.70).
- Longitudinal findings were robust, characterized by low heterogeneity.
Conclusions:
- This meta-analysis provides the first comprehensive overview of cognitive outcomes in PD-MCI and predictors of PDD conversion.
- Executive dysfunction is a significant cognitive domain associated with PD-MCI and its progression to PDD.
- Future research should focus on visuospatial skills, visual memory, and longitudinal executive dysfunction in PD-MCI.
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