A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis. - Inserm - Institut national de la santé et de la recherche médicale Accéder directement au contenu
Article Dans Une Revue European Journal of Neurology Année : 2013

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

Résumé

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.
We compared the predictive accuracy and consistency of EBDiMS with that of 17 neurologists highly specialized in MS.
We show that whilst the predictive accuracy was similar, neurologists showed a significant intra-rater and inter-rater variability.
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.

Dates et versions

inserm-01576451 , version 1 (23-08-2017)

Identifiants

Citer

I. Galea, C Lederer, A Neuhaus, P. A. Muraro, A Scalfari, et al.. A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis.. European Journal of Neurology, 2013, 20 (7), pp.1107-9. ⟨10.1111/ene.12016⟩. ⟨inserm-01576451⟩
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