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Multiple Sclerosis l: Introduction

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Multiple sclerosis is a chronic autoimmune disease of the central nervous system (CNS) that affects the brain, spinal cord, and optic nerves. It is an inflammatory demyelinating disorder and a leading cause of neurological disability in young adults.EpidemiologyMS commonly begins between 20 and 40 years of age and is twice as common in women. Its exact cause remains unclear, but genetic susceptibility contributes, with higher risk in first-degree relatives and identical twins. A greater...

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Updated: Apr 23, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

[Prognostic and predictively relevant factors for multiple sclerosis].

B Tackenberg¹, T Schneider-Hohendorf, A Müller

¹Klinik für Neurologie, Bereich Neuroimmunologie, AG Klinische Neuroimmunologie, Philipps-Universität und Universitätsklinikum Marburg, Baldingerstr. 1, 35043, Marburg, Deutschland, tackenbb@Staff.Uni-Marburg.de.

|September 26, 2014

Summary

This summary is machine-generated.

Multiple sclerosis (MS) immunotherapy is rapidly evolving. This review covers predictors of MS progression and challenges in managing treatment effectiveness.

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Area of Science:

Clinical Neurology
Immunotherapy
Neuroimmunology

Context:

Multiple sclerosis (MS) treatment landscape is dynamic with numerous established and novel immunotherapies.
Managing MS requires careful consideration of differential indications and activity-driven treatment control.
Predicting disease course and treatment response remains a significant clinical challenge.

Purpose:

To review known predictors of the natural course of multiple sclerosis.
To outline challenges associated with predictors of immunotherapy treatment control in MS.
To provide a concise overview for clinicians managing MS patients.

Summary:

This review synthesizes current knowledge on prognostic factors influencing the natural history of MS.
It critically examines the complexities in utilizing predictive markers for optimizing immunotherapy efficacy and monitoring disease activity.
Key challenges in treatment control and patient management are highlighted.

Impact:

Informs clinical decision-making for personalized MS treatment strategies.
Aids neurologists in anticipating disease progression and adjusting therapies accordingly.
Contributes to advancing the effective management of multiple sclerosis through predictive insights.