Can we predict the evolution of an unpredictable disease like multiple sclerosis?

European Journal of Neurology

Volumn 20, Issue 7, 2013, Pages 995-996

  Bergamaschi, R ^a  

^a C MONDINO NATIONAL NEUROLOGICAL INSTITUTE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; CLINICAL PRACTICE; DISEASE COURSE; EDITORIAL; HUMAN; MULTIPLE SCLEROSIS; NEUROIMMUNOLOGY; NEUROLOGIST; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROGNOSIS; PSYCHOLOGICAL WELL BEING; RISK BENEFIT ANALYSIS;

DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; INDIVIDUALIZED MEDICINE; INTERNET; MULTIPLE SCLEROSIS; NEUROLOGY; PROGNOSIS; SPECIALIZATION;

EID: 84879013748     PISSN: 13515101     EISSN: 14681331     Source Type: Journal    
DOI: 10.1111/ene.12020     Document Type: Editorial

References (5)

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2. Confavreux C, Vukusic S, Adeleine P. Early clinical predictors and progression of irreversible disability in multiple sclerosis: an amnesic process. Brain 2003; 126: 770-782.
3. Trojano M, Pellegrini F, Fuiani A, et al. New natural history of interferon-beta-treated relapsing multiple sclerosis. Ann Neurol 2007; 61: 300-306.
4. Bergamaschi R, Berzuini C, Romani A, Cosi V. Predicting secondary progression in relapsing-remitting multiple sclerosis: a Bayesian analysis. J Neurol Sci 2001; 189: 13-21.
5. Galea I, Ledererb C, Neuhausb A, et al. A web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis. Eur J Neurol 2013; 20: 1107-1109.