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Cited by 403

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Fatigue in Multiple Sclerosis: Mechanisms, Evaluation, and Treatment

Open access
Braley, Tiffany J., Chervin, Ronald D.·2010·Sleep

Abstract

Among patients with multiple sclerosis (MS), fatigue is the most commonly reported symptom, and one of the most debilitating. Despite its high prevalence and significant impact, fatigue is still poorly understood and often under-emphasized because of its complexity and subjective nature. In recent years, an abundance of literature from specialists in sleep medicine, neurology, psychiatry, psychology, physical medicine and rehabilitation, and radiology have shed light on the potential causes, impact, and treatment of MS-related fatigue. Though such a diversity of contributions clearly has advantages, few recent articles have attempted to synthesize this literature, and existing overviews have focused primarily on potential causes of fatigue rather than clinical evaluation or treatment. The aims of this review are to examine, in particular for sleep specialists, the most commonly proposed primary and secondary mechanisms of fatigue in MS, tools for assessment of fatigue in this setting, and available treatment approaches to a most common and challenging problem.

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Crossref · 10.1093/sleep/33.8.1061

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Metadata

Authors
Braley, T. J., & Chervin, R. D.
Venue
Sleep
Published
2010-08
Volume
33
Issue
8
Pages
1061-1067
ISSN
  • 0161-8105 (ISSN-L)
  • 1550-9109
OpenAlex
W185235087
Cited by
403
References
71
FWCI
5.19
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Fatigue in Multiple Sclerosis: Mechanisms, Evaluation, and Treatment. https://app.cochat.ai/papers/10.1093/sleep/33.8.1061
The paper
Braley, T. J., & Chervin, R. D. (2010). Fatigue in Multiple Sclerosis: Mechanisms, Evaluation, and Treatment. Sleep. https://doi.org/10.1093/sleep/33.8.1061

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.