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SYSTEMATIC REVIEW article
Front. Neurol.
Sec. Multiple Sclerosis and Neuroimmunology
Volume 15 - 2024 |
doi: 10.3389/fneur.2024.1457788
Global prevalence of fatigue in patients with multiple sclerosis: A systematic review and meta
Provisionally accepted- 1 College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- 2 Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
Background: Fatigue is one of the most common and burdensome symptoms for patients with multiple sclerosis (PwMS), considerably impacting their quality of life and employment. Numerous reports have described the prevalence of MS-related fatigue, but there is no global consensus on this matter.Objective: To examine the global prevalence of MS-related fatigue and identify sources of heterogeneity in the published literature.: A systematic review and meta-analysis were conducted. A comprehensive search of the PubMed, EMBASE, Cochrane Library, Web of Science, PsycINFO, CINAHL, China National Knowledge Infrastructure (CNKI), and Wanfang database for potential literature from 2000 to January 31, 2024. A random effects model was used to calculate the prevalence of MS-related fatigue.Subgroup analyses and a meta-regression were used to explore the sources of heterogeneity.Results: 69 studies from 27 countries were included. The global prevalence of MS-related fatigue was 59.1%, and it has decreased every decade since 2000. Fatigue was prevalent among females, those with lower education levels, those who were older, those with greater disability, and those with longer MS durations. The meta-regression revealed that fatigue measurement instruments were the largest source of heterogeneity.The prevalence of MS-related fatigue is quite high. Healthcare professionals should screen for and manage fatigue for PwMS as early as possible and pay attention to populations with a high prevalence of fatigue. The high heterogeneity among the prevalence rates due to differences in the fatigue scales suggests the importance of reaching a consensus on the best screening tools for MSrelated fatigue.
Keywords: Fatigue, Prevalence, Multiple Sclerosis, Systematic review, Meta-analysis
Received: 03 Jul 2024; Accepted: 20 Sep 2024.
Copyright: © 2024 Yi, Zhang, Du, Kang, Song, Li and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yue Zhang, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
Qiufeng Du, College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Shuang Song, College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Tao Li, College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
Yunlan Jiang, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China
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