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

  • I Galea
  • C Lederer
  • A Neuhaus
  • P A Muraro
  • A Scalfari
  • N Koch-Henriksen
  • C Heesen
  • S Koepke
  • Jan-Patrick Stellmann
  • H Albrecht
  • A Winkelmann
  • F Weber
  • E Bahn
  • M Hauser
  • G Edan
  • G Ebers
  • M Daumer

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.

Bibliographical data

Original languageEnglish
ISSN1351-5101
DOIs
Publication statusPublished - 01.07.2013
PubMed 23379849