A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
Article first published online: 16 OCT 2012
© 2012 The Author(s) European Journal of Neurology © 2012 EFNS
European Journal of Neurology
Volume 20, Issue 7, pages 1107–1109, July 2013
How to Cite
Galea, I., Lederer, C., Neuhaus, A., Muraro, P. A., Scalfari, A., Koch-Henriksen, N., Heesen, C., Koepke, S., Stellmann, P., Albrecht, H., Winkelmann, A., Weber, F., Bahn, E., Hauser, M., Edan, G., Ebers, G. and Daumer, M. (2013), A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis. European Journal of Neurology, 20: 1107–1109. doi: 10.1111/ene.12016
- Issue published online: 16 OCT 2012
- Article first published online: 16 OCT 2012
- Manuscript Accepted: 18 SEP 2012
- Manuscript Received: 11 JUN 2012
- demyelinating diseases;
- multiple sclerosis;
Background and purpose
The Evidence-Based Decision Support Tool in Multiple Sclerosis (EBDiMS) is the first Web-based prognostic calculator in multiple sclerosis (MS) capable of delivering individualized estimates of disease progression. It has recently been extended to provide long-term predictions based on the data from a large natural history cohort.
We compared the predictive accuracy and consistency of EBDiMS with that of 17 neurologists highly specialized in MS.
We show that whilst the predictive accuracy was similar, neurologists showed a significant intra-rater and inter-rater variability.
Because EBDiMS was consistent, it is of superior utility in a specialist setting. Further field testing of EBDiMS in non-specialist settings, and investigation of its usefulness for counselling patients in treatment decisions, is warranted.