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Dataset Information

Modeling of Parkinson's Disease Progression and Implications for Detection of Disease Modification in Treatment Trials.


ABSTRACT:

Background

Objectively measuring Parkinson's disease (PD) signs and symptoms over time is critical for the successful development of treatments aimed at halting the disease progression of people with PD.

Objective

To create a clinical trial simulation tool that characterizes the natural history of PD progression and enables a data-driven design of randomized controlled studies testing potential disease-modifying treatments (DMT) in early-stage PD.

Methods

Data from the Parkinson's Progression Markers Initiative (PPMI) were analyzed with nonlinear mixed-effect modeling techniques to characterize the progression of MDS-UPDRS part I (non-motor aspects of experiences of daily living), part II (motor aspects of experiences of daily living), and part III (motor signs). A cl

SUBMITTER: Ribba B 

PROVIDER: S-EPMC11380229 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature