SynthesisThe patient2025
Measuring Fatigue in Multiple Sclerosis: A Rapid Review.
Synthesis in The patient, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Fatigue rather than cognitive reserve is associated with self-management in low-disability multiple sclerosis.Acta neurologica Belgica · 2026Article
- Disentangling Fatigue Dimensions in Multiple Sclerosis: Differential Associations with Health-Related Quality of Life Outcomes in RRMS.Medical sciences (Basel, Switzerland) · 2026Article
- The correlation between serum markers of oxidative stress and fatigue and related factors in minimally disabled patients with relapsing-remitting multiple sclerosis.Scientific reports · 2026Article
- Development of a New Patient-Reported Outcome to Measure Fatigue in Patients with Multiple Sclerosis.Nursing reports (Pavia, Italy) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundFatigue is one of the most prevalent and debilitating symptoms of multiple sclerosis (MS), as people with MS describe it. It has a complex pathogenesis and often precedes the clinical symptoms of MS and potentially indicates disease progression. Given its prevalence, impact, and intricate connections to disease pathology, accurate measurement is crucial to manage and study fatigue in people with MS; however, current measurements often lack content validity. A mismatch between key aspects of fatigue and existing fatigue scales will limit these scales' ability to capture the full scope of MS-related fatigue. We aimed to examine the current evidence on MS-related fatigue to define key aspects of fatigue in the literature and compare them with the scales used to measure MS-related fatigue.
methodsThis integrated rapid review (PROSPERO registration: CRD42024505743) synthesised evidence on MS-related fatigue domains and their representation in validated scales. A systematic search was conducted on January 24, 2024, across three electronic databases: PubMed, Scopus, and ProQuest with no restriction on publication date. Eligible studies included those reporting on fatigue domains, signs and symptoms in people with MS and those on validated fatigue scales in MS. The quality of the included studies was assessed using the Mixed Methods Assessment Tool. Data was synthesised with meta-aggregation of the fatigue domains, signs, and symptoms and mapping them against the items from validated fatigue scales.
resultsWe identified 7089 articles and included 85 studies (quantitative: 65; qualitative: 9; mixed methods: 8); 54 investigated fatigue domains, five reported fatigue scale development, and 26 focused on both. The review included 34,984 participants (9814 male; 25,126 female) with a mean age of 47.43 years (range 36-55.4). A total of 791 items related to fatigue domains, signs, symptoms, and experiences were extracted and categorised into three key areas: fatigue triggers, domains, and impacts. We identified eight fatigue triggers (physical, cognitive, psychological, social, medical, lifestyle, temporal, and environmental), five fatigue domains (general, physical, cognitive, psychosocial, and social), and five areas of fatigue impact (global, physical, cognitive, psychological, and social impacts of fatigue). Twenty-nine scales, tests, measures, and indices that measure MS-related fatigue were identified. Nineteen of these were validated by self-reported fatigue scales. The scales fully covered the domains of MS-related fatigue. However, the identified scales did not fully capture medical and lifestyle triggers, as well as psychological and global impacts. Additionally, no single scale fully encompassed all three aspects of fatigue and their corresponding subcategories.
conclusionThis review demonstrates the importance of integrating the subjective experiences of people with MS into research to ensure that the multidimensional aspects of MS-related fatigue, together with these people's values, needs, and preferences, are captured and used to develop useful, comprehensive, and meaningful tools designed to measure MS-related fatigue. In addition, this clearer discernment of the triggers, domains, and impacts of MS-related fatigue is critical in the clinic and research. Better tools will enable a better understanding of the underlying mechanisms, as well as tracking and managing fatigue.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.