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A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis

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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, Jan-Patrick; Albrecht, H; Winkelmann, A; Weber, F; Bahn, E; Hauser, M; Edan, G; Ebers, G; Daumer, M.

In: EUR J NEUROL, Vol. 20, No. 7, 01.07.2013, p. 1107-9.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Galea, I, Lederer, C, Neuhaus, A, Muraro, PA, Scalfari, A, Koch-Henriksen, N, Heesen, C, Koepke, S, Stellmann, J-P, Albrecht, H, Winkelmann, A, Weber, F, Bahn, E, Hauser, M, Edan, G, Ebers, G & Daumer, M 2013, 'A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis', EUR J NEUROL, vol. 20, no. 7, pp. 1107-9. https://doi.org/10.1111/ene.12016

APA

Galea, I., Lederer, C., Neuhaus, A., Muraro, P. A., Scalfari, A., Koch-Henriksen, N., Heesen, C., Koepke, S., Stellmann, J-P., Albrecht, H., Winkelmann, A., Weber, F., Bahn, E., Hauser, M., Edan, G., Ebers, G., & Daumer, M. (2013). A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis. EUR J NEUROL, 20(7), 1107-9. https://doi.org/10.1111/ene.12016

Vancouver

Galea I, Lederer C, Neuhaus A, Muraro PA, Scalfari A, Koch-Henriksen N et al. A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis. EUR J NEUROL. 2013 Jul 1;20(7):1107-9. https://doi.org/10.1111/ene.12016

Bibtex

@article{0d7c498ccd3e43b491cb08918730a38e,
title = "A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis",
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.",
keywords = "Decision Support Systems, Clinical, Humans, Individualized Medicine, Internet, Multiple Sclerosis, Neurology, Observer Variation, Prognosis, Specialization",
author = "I Galea and C Lederer and A Neuhaus and Muraro, {P A} and A Scalfari and N Koch-Henriksen and C Heesen and S Koepke and Jan-Patrick Stellmann and H Albrecht and A Winkelmann and F Weber and E Bahn and M Hauser and G Edan and G Ebers and M Daumer",
note = "{\textcopyright} 2012 The Author(s) European Journal of Neurology {\textcopyright} 2012 EFNS.",
year = "2013",
month = jul,
day = "1",
doi = "10.1111/ene.12016",
language = "English",
volume = "20",
pages = "1107--9",
journal = "EUR J NEUROL",
issn = "1351-5101",
publisher = "Wiley-Blackwell",
number = "7",

}

RIS

TY - JOUR

T1 - A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis

AU - Galea, I

AU - Lederer, C

AU - Neuhaus, A

AU - Muraro, P A

AU - Scalfari, A

AU - Koch-Henriksen, N

AU - Heesen, C

AU - Koepke, S

AU - Stellmann, Jan-Patrick

AU - Albrecht, H

AU - Winkelmann, A

AU - Weber, F

AU - Bahn, E

AU - Hauser, M

AU - Edan, G

AU - Ebers, G

AU - Daumer, M

N1 - © 2012 The Author(s) European Journal of Neurology © 2012 EFNS.

PY - 2013/7/1

Y1 - 2013/7/1

N2 - 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.

AB - 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.

KW - Decision Support Systems, Clinical

KW - Humans

KW - Individualized Medicine

KW - Internet

KW - Multiple Sclerosis

KW - Neurology

KW - Observer Variation

KW - Prognosis

KW - Specialization

U2 - 10.1111/ene.12016

DO - 10.1111/ene.12016

M3 - SCORING: Journal article

C2 - 23379849

VL - 20

SP - 1107

EP - 1109

JO - EUR J NEUROL

JF - EUR J NEUROL

SN - 1351-5101

IS - 7

ER -