A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis
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 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.
Galea, Ian
66209a2f-f7e6-4d63-afe4-e9299f156f0b
Lederer, Christian
d5e7e6f9-bc7c-4bd1-b1c7-609e17771d2e
Neuhaus, Anneke
8bbe5c72-7894-4c84-8700-8b6644142f58
Muraro, Paolo A.
84da35c7-bc6c-449c-bdec-7f2b77c478f4
Scalfari, Antonia
d6786674-3b56-4573-9155-16b2dfb8366f
Koch-Henriksen, Nils
0ebeb618-f132-4433-baaa-e0dfd6184e89
Heesen, Christoph
1f483c47-8edd-4655-aec3-db243d891310
Koepke, Sasha
531ec307-c3ca-4be1-9a0c-db1acdaca28c
Stellmann, Jan-Patrick
b986a9ab-469c-4c9a-854b-02fc4eab0b4e
Albrecht, Holger
668de87d-1637-4a7d-970e-1da78f3ed1bd
Winkelmann, Alexander
a21eeecd-873b-4817-9640-50668d6c6ab0
Weber, Frank
75b9add5-c603-457a-b62a-f6ac24637834
Bahn, Erik
34e4096f-9429-402a-8143-8bb80dfcf0f2
Hauser, Markus
e1be71af-c30e-41d1-ba24-68b91e653e75
Edan, Gilles
2c8f0fb2-c821-4d29-98a1-db1b47daf693
Ebers, George
911e328c-3407-4dc8-b052-434f4eb0fe97
Daumer, Martin
c23d178a-8c77-4339-ab76-b0e6c05c5783
16 July 2013
Galea, Ian
66209a2f-f7e6-4d63-afe4-e9299f156f0b
Lederer, Christian
d5e7e6f9-bc7c-4bd1-b1c7-609e17771d2e
Neuhaus, Anneke
8bbe5c72-7894-4c84-8700-8b6644142f58
Muraro, Paolo A.
84da35c7-bc6c-449c-bdec-7f2b77c478f4
Scalfari, Antonia
d6786674-3b56-4573-9155-16b2dfb8366f
Koch-Henriksen, Nils
0ebeb618-f132-4433-baaa-e0dfd6184e89
Heesen, Christoph
1f483c47-8edd-4655-aec3-db243d891310
Koepke, Sasha
531ec307-c3ca-4be1-9a0c-db1acdaca28c
Stellmann, Jan-Patrick
b986a9ab-469c-4c9a-854b-02fc4eab0b4e
Albrecht, Holger
668de87d-1637-4a7d-970e-1da78f3ed1bd
Winkelmann, Alexander
a21eeecd-873b-4817-9640-50668d6c6ab0
Weber, Frank
75b9add5-c603-457a-b62a-f6ac24637834
Bahn, Erik
34e4096f-9429-402a-8143-8bb80dfcf0f2
Hauser, Markus
e1be71af-c30e-41d1-ba24-68b91e653e75
Edan, Gilles
2c8f0fb2-c821-4d29-98a1-db1b47daf693
Ebers, George
911e328c-3407-4dc8-b052-434f4eb0fe97
Daumer, Martin
c23d178a-8c77-4339-ab76-b0e6c05c5783
Galea, Ian, Lederer, Christian, Neuhaus, Anneke, Muraro, Paolo A., Scalfari, Antonia, Koch-Henriksen, Nils, Heesen, Christoph, Koepke, Sasha, Stellmann, Jan-Patrick, Albrecht, Holger, Winkelmann, Alexander, Weber, Frank, Bahn, Erik, Hauser, Markus, Edan, Gilles, Ebers, George and Daumer, Martin
(2013)
A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis.
European Journal of Neurology.
(doi:10.1111/ene.12016).
(PMID:23379849)
Abstract
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.
Text
Galea et al 2013
- Version of Record
More information
Published date: 16 July 2013
Organisations:
Clinical & Experimental Sciences
Identifiers
Local EPrints ID: 348228
URI: http://eprints.soton.ac.uk/id/eprint/348228
ISSN: 1351-5101
PURE UUID: 6b36b3fc-e0a6-41b2-9502-28404672696e
Catalogue record
Date deposited: 11 Feb 2013 09:36
Last modified: 15 Mar 2024 03:16
Export record
Altmetrics
Contributors
Author:
Christian Lederer
Author:
Anneke Neuhaus
Author:
Paolo A. Muraro
Author:
Antonia Scalfari
Author:
Nils Koch-Henriksen
Author:
Christoph Heesen
Author:
Sasha Koepke
Author:
Jan-Patrick Stellmann
Author:
Holger Albrecht
Author:
Alexander Winkelmann
Author:
Frank Weber
Author:
Erik Bahn
Author:
Markus Hauser
Author:
Gilles Edan
Author:
George Ebers
Author:
Martin Daumer
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics