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Fluoxetine in Progressive Multiple Sclerosis (FLUOX-PMS): study protocol for a randomized controlled trial

Overview of attention for article published in Trials, January 2014
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Title
Fluoxetine in Progressive Multiple Sclerosis (FLUOX-PMS): study protocol for a randomized controlled trial
Published in
Trials, January 2014
DOI 10.1186/1745-6215-15-37
Pubmed ID
Authors

Melissa Cambron, Jop Mostert, Patrick Haentjens, Marie D’Hooghe, Guy Nagels, Barbara Willekens, Dorothea Heersema, Jan Debruyne, Wim Van Hecke, Luc Algoed, Nina De Klippel, Erwin Fosselle, Guy Laureys, Henri Merckx, Bart Van Wijmeersch, Ludo Vanopdenbosch, Wim Verhagen, Raymond Hupperts, Gerald Hengstman, Veronique Michiels, Annick Van Merhaegen-Wieleman, Jacques De Keyser

Abstract

Currently available disease-modifying treatments acting by modifying the immune response are ineffective in progressive multiple sclerosis (MS), which is caused by a widespread axonal degeneration. Mechanisms suspected to be involved in this widespread axonal degeneration are reduced axonal energy metabolism, axonal glutamate toxicity, and reduced cerebral blood flow. Fluoxetine might theoretically reduce axonal degeneration in MS because it stimulates energy metabolism through enhancing glycogenolysis, stimulates the production of brain-derived neurotrophic factor, and dilates cerebral arterioles. The current document presents the protocol of a clinical trial to test the hypothesis that fluoxetine slows down the progressive phase of MS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Researcher 20 14%
Student > Doctoral Student 12 8%
Student > Master 10 7%
Student > Bachelor 10 7%
Other 23 16%
Unknown 44 31%
Readers by discipline Count As %
Medicine and Dentistry 45 31%
Nursing and Health Professions 9 6%
Agricultural and Biological Sciences 8 6%
Neuroscience 8 6%
Psychology 6 4%
Other 15 10%
Unknown 52 36%