Background: Parkinson's disease psychosis (PDP) is a multidimensional construct that is challenging to measure. Accurate assessment of PDP requires comprehensive and reliable clinical outcome assessment (COA) measures.
Objective: To identify PDP measurement gaps in available COAs currently used in clinical and research settings.
Methods: We conducted a scoping review using Preferred Reporting Items for Systematic Review and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) guidelines. We implemented a three-step search strategy in international databases with keywords related to Parkinson's disease (PD), psychosis, and COA. We analyzed studies using COA to assess PDP, classifying their items according to domains and subdomains.
Results: From 5673 identified studies, we included 628 containing 432 PDP core items from 32 COAs. Among the 32 COAs, 19 were PD-specific, containing 266 items, constructed as clinician-reported outcomes (ClinRO) (148 items), patient-reported outcomes (PRO) (112 items), and observer-reported outcomes (ObsRO) (six items). Across all PD-specific COAs, regardless of structure, 89.4% of the items from 27 COAs focused primarily on assessing PDP symptoms' severity, and only 9.7% of items probed the impact of PDP on a person's daily functioning.
Conclusions: Symptom-based domains are currently prioritized for measuring the severity of PDP, with limited coverage of the functional impact of PDP on patients' lives. Whereas the International Parkinson and Movement Disorder Society has traditionally developed a "Unified" COA that culls items from prior COAs to form a new one, a new COA will largely need newly developed items if the functional impact of PDP is prioritized. © 2024 International Parkinson and Movement Disorder Society.
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http://dx.doi.org/10.1002/mds.29710 | DOI Listing |
Biosens Bioelectron
January 2025
Department of Physics, Virginia Commonwealth University, Richmond, VA, 23284, USA; Institute for Sustainable Energy and Environment, Virginia Commonwealth University, Richmond, VA, 23284, USA. Electronic address:
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Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
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January 2025
Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, One Cyclotron Rd., Berkeley, CA 94720, United States.
Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information systems. Most of these structures change over time, incorporating new knowledge or information that was previously missing. Managing these changes is a challenge, both in terms of communicating changes to users and providing mechanisms to make it easier for multiple stakeholders to contribute.
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January 2025
Universidade Federal da Paraíba, João Pessoa, PB, Brasil.
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Laboratory of Biochemistry, Habib Bourguiba University Hospital, University of Sfax, Sfax, Tunisia.
To examine the effects of self-paced combined high-intensity interval training and resistance training (HIIT-RT) on oxidative stress, inflammation lipid profile and body composition in people with multiple sclerosis (PwMS). Twenty-three PwMS were randomly assigned to either a control group (CG, n = 12) or a training group (TG, n = 11). The TG performed a 12-week self-paced HIIT-RT (3 times/week).
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