External validation of a multiple sclerosis treatment decision score using data from the ProVal-MS cohort study.

ABSTRACT:

Background

The course of relapsing-remitting multiple sclerosis (RRMS), frequently preceded by the clinically isolated syndrome (CIS), is variable and challenging to predict. Given many treatment options available, prognostic algorithms are gaining importance in informing initial treatment decisions. However, to date, only a few externally validated exists. External validation, which involves the application of a model to independent data, is essential. Privacy-preserving federated analyses of individual-level data facilitate external validation using clinical datasets that are typically difficult to access.

Objectives

Using data from the ProVal-MS study to externally validate the multiple sclerosis treatment decision score (MS-TDS), a predictive algorithm for early RRMS and

SUBMITTER: Buchka S 

PROVIDER: S-EPMC12639221 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature