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 prediction...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2013
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491319/
https://www.ncbi.nlm.nih.gov/pubmed/23379849
http://dx.doi.org/10.1111/ene.12016
Descripción
Sumario: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.

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