Literature DB >> 15335445

Symptomatic and disease-modifying therapy for the progressive ataxias.

Susan L Perlman1.   

Abstract

BACKGROUND: The progressive ataxias are a diverse group of neurologic diseases that share features of degeneration of the cerebellum and its inflow/outflow pathways but differ in etiology, course, and associated noncerebellar system involvement. Some will have treatable causes, but for most, the pathophysiology is incompletely known. REVIEW
SUMMARY: Treatment strategies will include (1) definitive therapy when available, (2) symptomatic treatment and prevention of complications, and (3) rehabilitation and support resources. The physician will have to decide whether to introduce or approve the use of therapies based on as yet-unproven mechanisms or the use of complementary medicine approaches.
CONCLUSIONS: There are as yet no drugs that have been approved by the Food and Drug Administration for the treatment of the progressive ataxias and relatively few disease-modifying therapies, but symptomatic and rehabilitation interventions can greatly improve the quality of life of individuals with these disabling neurodegenerative disorders.

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Year:  2004        PMID: 15335445     DOI: 10.1097/01.nrl.0000141651.35193.67

Source DB:  PubMed          Journal:  Neurologist        ISSN: 1074-7931            Impact factor:   1.398


  2 in total

1.  Effects of acetyl-DL-leucine on cerebellar ataxia (ALCAT trial): study protocol for a multicenter, multinational, randomized, double-blind, placebo-controlled, crossover phase III trial.

Authors:  Katharina Feil; Christine Adrion; Julian Teufel; Sylvia Bösch; Jens Claassen; Ilaria Giordano; Holger Hengel; Heike Jacobi; Thomas Klockgether; Thomas Klopstock; Wolfgang Nachbauer; Ludger Schöls; Claudia Stendel; Ellen Uslar; Bart van de Warrenburg; Ingrid Berger; Ivonne Naumann; Otmar Bayer; Hans-Helge Müller; Ulrich Mansmann; Michael Strupp
Journal:  BMC Neurol       Date:  2017-01-10       Impact factor: 2.474

Review 2.  Establishing a second-generation artificial intelligence-based system for improving diagnosis, treatment, and monitoring of patients with rare diseases.

Authors:  Noa Hurvitz; Henny Azmanov; Asa Kesler; Yaron Ilan
Journal:  Eur J Hum Genet       Date:  2021-07-19       Impact factor: 5.351

  2 in total

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