Literature DB >> 16533140

Prognosis of multiple sclerosis: clinical factors predicting the late evolution for an early treatment decision.

Roberto Bergamaschi1.   

Abstract

With the development of new immunomodulating therapies, with which early use is strongly encouraged, it is crucial to be in possession of reliable clinical predictors of multiple sclerosis evolution. Prognostic factors are important to patients wanting to be informed about their prospects; to the clinician needing to individualize patients requiring immune treatments at an early stage of the disease; and also to the researcher needing to to improve the design and analysis of the clinical therapeutic trials and observational studies. Frequentist analyses have indicated a poor prognosis for male gender, late age at onset, motor, cerebellar and sphincter involvement at onset, progressive course at onset, short inter-attack interval, high number of early attacks; and a relevant early residual disability. A recent application of a Bayesian analysis led to the construction of more detailed models of the natural history of multiple sclerosis and the estimated risk of unfavorable evolution at an individual patient level.

Entities:  

Mesh:

Year:  2006        PMID: 16533140     DOI: 10.1586/14737175.6.3.357

Source DB:  PubMed          Journal:  Expert Rev Neurother        ISSN: 1473-7175            Impact factor:   4.618


  6 in total

1.  IL-7Rα confers susceptibility to experimental autoimmune encephalomyelitis.

Authors:  C C Walline; S Kanakasabai; J J Bright
Journal:  Genes Immun       Date:  2010-09-23       Impact factor: 2.676

2.  Longitudinal predictors of attitudes toward aging among women with multiple sclerosis.

Authors:  Tracie Harrison; Shelley Blozis; Alexa Stuifbergen
Journal:  Psychol Aging       Date:  2008-12

Review 3.  Emerging therapies for multiple sclerosis.

Authors:  Paolo A Muraro; Bibiana Bielekova
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

4.  Prediction of acute multiple sclerosis relapses by transcription levels of peripheral blood cells.

Authors:  Michael Gurevich; Tamir Tuller; Udi Rubinstein; Rotem Or-Bach; Anat Achiron
Journal:  BMC Med Genomics       Date:  2009-07-22       Impact factor: 3.063

5.  Prognosis of the individual course of disease--steps in developing a decision support tool for Multiple Sclerosis.

Authors:  M Daumer; A Neuhaus; C Lederer; M Scholz; J S Wolinsky; M Heiderhoff
Journal:  BMC Med Inform Decis Mak       Date:  2007-05-08       Impact factor: 2.796

6.  A comparison of brain magnetic resonance imaging lesions in multiple sclerosis by race with reference to disability progression.

Authors:  Yuri Nakamura; Laura Gaetano; Takuya Matsushita; Altermatt Anna; Till Sprenger; Ernst-Wilhelm Radue; Jens Wuerfel; Lorena Bauer; Michael Amann; Koji Shinoda; Noriko Isobe; Ryo Yamasaki; Takahiko Saida; Ludwig Kappos; Jun-Ichi Kira
Journal:  J Neuroinflammation       Date:  2018-09-05       Impact factor: 8.322

  6 in total

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