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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2013
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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. |
format | Online Article Text |
id | pubmed-4491319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
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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