A Web-based tool for personalized prediction of long-term disease course in patients with 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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European journal of neurology 2013-07, Vol.20 (7), p.1107-1109
Hauptverfasser: 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., Daumer, M.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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. Methods We compared the predictive accuracy and consistency of EBDiMS with that of 17 neurologists highly specialized in MS. Results We show that whilst the predictive accuracy was similar, neurologists showed a significant intra‐rater and inter‐rater variability. Conclusions 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. Click here to view the accompanying paper in this issue.
ISSN:1351-5101
1468-1331
DOI:10.1111/ene.12016