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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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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:
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
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author 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
author_facet 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
author_sort Galea, I
collection PubMed
description 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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spelling pubmed-44913192015-07-06 A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis 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 Eur J Neurol Short Communication 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. John Wiley & Sons, Ltd 2013-07 2012-12-07 /pmc/articles/PMC4491319/ /pubmed/23379849 http://dx.doi.org/10.1111/ene.12016 Text en © 2012 The Author(s) European Journal of Neurology © 2012 EFNS
spellingShingle Short Communication
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
A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
title A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
title_full A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
title_fullStr A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
title_full_unstemmed A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
title_short A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
title_sort web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
topic Short Communication
url 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
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