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Updated: May 14, 2026
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
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.
