Early prediction of the long term evolution of multiple sclerosis: the Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score

Roberto Bergamaschi, Silvana Quaglini, María Trojano, Maria Pia Amato, Eleonora Tavazzi, Damiano Paolicelli, Valentina Zipoli, A. Romani, Aurora Fuiani, Emilio Portaccio,

Journal of Neurology Neurosurgery & Psychiatry · 2006 · 69 citations · 13 references

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Abstract

The BREMS score may be useful both to identify patients who are candidates for early or for more aggressive therapies and to improve the design and analysis of clinical therapeutic trials and of observational studies.

References

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