JPD Digital progress report.

J Prosthet Dent

Assistant Editor, Journal of Prosthetic Dentistry; Retired Clinical Professor of Prosthodontics and Occlusion, Department of Advanced Education in Prosthodontics, New York University, College of Dentistry, New York, NY. Electronic address:

Published: January 2025

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http://dx.doi.org/10.1016/j.prosdent.2025.01.004DOI Listing

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JPD Digital progress report.

J Prosthet Dent

January 2025

Assistant Editor, Journal of Prosthetic Dentistry; Retired Clinical Professor of Prosthodontics and Occlusion, Department of Advanced Education in Prosthodontics, New York University, College of Dentistry, New York, NY. Electronic address:

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Background: Longitudinal digital health studies combine passively collected information from digital devices, such as commercial wearable devices, and actively contributed data, such as surveys, from participants. Although the use of smartphones and access to the internet supports the development of these studies, challenges exist in collecting representative data due to low adherence and retention. We aimed to identify key factors related to adherence and retention in digital health studies and develop a methodology to identify factors that are associated with and might affect study participant engagement.

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Article Synopsis
  • Digital self-management tools like mobile apps and wearables can improve personalized care for Parkinson's disease by incorporating feedback from both patients and clinicians, which helps strengthen their relationship.
  • This review summarizes the effectiveness of various self-management systems, highlighting how they involve clinicians and assessing their acceptance and usability from the clinicians' perspective.
  • Out of over 15,000 studies, only 33 were relevant, showing a need for more research on how these systems can be effectively integrated into medical practice to enhance patient care.
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Article Synopsis
  • - The emergence of new methods to detect misfolded α-synuclein aggregates in biofluids and tissue biopsies is redefining what Parkinson's disease (PD) is at a biological level, particularly in its early phases.
  • - Techniques like αSyn seed amplification in cerebrospinal fluid (CSF) have shown strong accuracy for diagnosing early PD and related disorders, with findings also indicating a link between CSF αSyn positivity and the likelihood of developing clinical symptoms.
  • - Although these detection methods show promise, further validation through ongoing studies is needed to accurately assess and implement them for different early-stage PD subtypes in clinical practice.
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Approaches to Early Parkinson's Disease Subtyping.

J Parkinsons Dis

October 2024

Department of Nuclear Medicine & PET, Aarhus University Hospital, Aarhus, Denmark.

Parkinson's disease (PD) unfolds with pathological processes and neurodegeneration well before the emergence of noticeable motor symptoms, providing a window for early identification. The extended prodromal phase allows the use of risk stratification measures and prodromal markers to pinpoint individuals likely to develop PD. Importantly, a growing body of evidence emphasizes the heterogeneity within prodromal and clinically diagnosed PD.

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