Evaluating multivariable prediction models for Parkinson's disease prognosis: a scoping review protocol.

ABSTRACT:

Introduction

Parkinson's disease (PD) is a neurodegenerative disorder characterised by heterogeneous motor symptoms, non-motor symptoms and rates of disease progression; phenotype and prognosis vary by individual. Although researchers have attempted to predict clinical outcomes using biomarkers and other variables, there are limited data on the development, validation and clinical utility of multivariable prediction models for individual prognostication in PD. In this protocol, we will develop a method for identifying, reviewing and appraising existing PD prognostic models in order to summarise the current literature, identify knowledge gaps and inform future research.

Methods and analysis

This scoping review will be guided by the methodological principles outlined in the Pr

SUBMITTER: Eickholt L 

PROVIDER: S-EPMC12750783 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature