Dana Pourzinal, Deborah Brooks, Deepa Sriram, Leander K Mitchell, Nancy A Pachana, Kirstine Shrubsole, Brian Wood, John D O'Sullivan, Rodney Marsh, Alexander Lehn, Jacki Liddle, Edwin C K Tan, W Kim Halford, Neil Page, Nadeeka N Dissanayaka
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引用次数: 0
Abstract
Introduction: Variations in clinical management of cognitive disorders in Parkinson's disease (PD) can delay diagnosis, treatment, and care. To harmonize clinical practice, we aimed to gain consensus on best practice recommendations for the diagnosis, evaluation, and management of cognitive disorders in PD.
Method: Fifty-eight evidence-based recommendations were presented to an expert panel (N = 29) of Australian PD clinicians and researchers using a modified Delphi approach to gauge agreement. A 5-point Likert scale was used, with a median score > 4 and inter-quartile range < 1, indicating satisfactory agreement. Optional written feedback was also collected. A steering committee of clinicians, researchers, and lived experience experts (N = 13) revised recommendations based on panel feedback.
Results: Fifty-one evidence-based and expert-endorsed recommendations for the diagnosis, evaluation, and management of cognitive disorders in PD were produced.
Discussion: The recommendations serve as a foundational framework to guide clinical practice for cognitive disorders in PD and improve the provision of care.
Highlights: Recommendations for cognitive disorders in Parkinson's disease were developed.Diagnosis, evaluation, and management of cognitive disorders were explored.A modified Delphi approach was used.A panel of 29 Australian clinician and/or research experts provided input.Fifty-one evidence-based and expert-backed recommendations were developed.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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