Article

Exploring a milestone-based outcome measure for disease-modifying trials in Parkinson’s disease

2026-07-09

Abstract excerpt

<title>Abstract</title> <p>A composite milestone was recently proposed as a measure of Parkinson’s disease (PD) progression, including 5-year clinical outcomes on various domains (Walking/balance, Motor complications, Cognition, Autonomic dysfunction, Functional dependence, Activities of daily living) derived from clinical scales. This study explored the composite milestone behaviour in a wider PD sample over up...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 737aa307-7976-5dc3-abeb-3182274cd364
DOI: 10.21203/rs.3.rs-10044703/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Exploring a milestone-based outcome measure for disease-modifying trials in Parkinson’s diseaseDOI 10.21203/rs.3.rs-10044703/v1Read

A Disease Progression Model to Quantify the Nonmotor Symptoms of Parkinson's Disease in Participants With Leucine-Rich Repeat Kinase 2 Mutation.Semantic proximity Read

A Novel Machine Learning Based Framework for Developing Composite Digital Biomarkers of Disease ProgressionSemantic proximity Read

Genome-wide association studies of cognitive and motor progression in Parkinson's diseaseSemantic proximity Read

Impact of Age at Onset on Symptom Profiles, Treatment Characteristics and Health-Related Quality of Life in Parkinson’s DiseaseSemantic proximity Read

Spatiotemporal and progression heterogeneity of Parkinson’s disease leveraging multimodal dataSemantic proximity Read

Predictive Modeling to Uncover Parkinson’s Disease Characteristics That Delay DiagnosisSemantic proximity Read

New Clinical Subtypes of Parkinson Disease and Their Longitudinal Progression: A Prospective Cohort Comparison With Other Phenotypes.Semantic proximity Read

Identification of a prospective early motor progression cluster of Parkinson's disease: Data from the PPMI study.Semantic proximity Read

From Clinical Criteria to AI-Based Classification of Advanced Parkinson’s Disease: A Data-Driven Approach Using Structured PPMI DataSemantic proximity Read

Motor progression phenotypes in early-stage Parkinson's Disease: A clinical prediction model and the role of glymphatic system imaging biomarkers.Semantic proximity Read

Time-to-Event Analyses of UPDRS and MDS-UPDRS Motor Examination and Functional Outcomes in Early Parkinson’s Disease Clinical TrialsSemantic proximity Read

Association between Parkinson’s Disease subtypes and tests of physical function: the 360-degree turn test is most predictiveSemantic proximity Read