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Updated: Jul 8, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Evaluating evidence for a neuropsychological toolkit to predict cognitive decline in PD: A systematic review
Dana Pourzinal1, James King1, Kumareshan Sivakumaran1,2
1UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
Abstract:
Objectives: Neuropsychological measures used to assess cognition in Parkinson's disease (PD) vary greatly across clinical and research settings. We conducted a systematic review to evaluate the literature pertaining to neuropsychological tools predictive of cognitive decline in PD, with a view to developing an evidence-based harmonized toolkit. Method: Following PRISMA guidelines, systematic literature searches for neuropsychological predictors of longitudinal cognitive decline in PD were performed for articles published up to August 2024 in PubMed, SCOPUS, Medline, PyscINFO and CINAHL databases. Quality was assessed using the Newcastle-Ottawa scale for individual studies and the GRADE system for each cognitive outcome. Results: Thirty-one relevant articles met inclusion criteria, with low to moderate risk of bias. Category fluency, Symbol Digit Modalities Test, Trail-making Test part A, Stroop word or color, immediate verbal memory, and Montreal Cognitive Assessment produced the highest grade of evidence (moderate), strongly supporting their predictive utility in PD. Stroop word-color, Letter Number Sequencing, pentagon copying, Trail-making Test part B, and delayed verbal and visual memory produced low quality evidence supporting their predictive utility in PD. Digit span forward and backward measures produced very low quality evidence, with consistent evidence against their predictive utility. Twelve additional measures produced very low quality of evidence due to insufficient studies or mixed results. Conclusions: The evidence base for key neuropsychological measures sensitive to cognitive decline in PD was evaluated in this systematic review. The findings will inform evidence-based tool selection for cognitive evaluations in PD and a PD-specific harmonized cognitive toolkit.
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