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Prognosis of the Individual Course of Disease: the Elements of Time, Hetereogeneity and Precision by Martin Daumer; Anneke Neuhaus; Joseph Herbert; George Ebers is a Medicine article available to read on EtoBox.

What is Prognosis of the Individual Course of Disease: the Elements of Time, Hetereogeneity and Precision about?

There is no gold standard in monitoring disease activity for clinical trials in multiple sclerosis. Various outcome measures, including relapses, disability and magnetic resonance imaging (MRI) measures have been used to demonstrate the efficacy of the different available therapies for multiple sclerosis. Recently, the potential limitations of these measures have received increasing attention, and these have stimulated research into more appropriate and sensitive outcome measures for clinical trials. For example, it has been shown that widely-used MRI measures add little, if any, independent information to that provided by more clinically relevant measures such as relapses and disability. Similarly, the Expanded Disability status Scale (EDSS), which is the most widely-used measure of disability related to multiple sclerosis, is insufficiently sensitive to detect robust changes in disability over the timeframes usually used in clinical trials. An alternative to the EDSS is the Multiple Sclerosis Severity Score (MSSS), a severity scale which relates clinical disability to disease duration. The MSSS was originally developed from a database of nearly ten thousand patients from eleven E

Who reads Prognosis of the Individual Course of Disease: the Elements of Time, Hetereogeneity and Precision?

Author

Martin Daumer; Anneke Neuhaus; Joseph Herbert; George Ebers

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0022-510X)

Published

2010

Language

EN

Field

Medicine (Health Sciences)