Evidence map›Paper›PMID 40880040›Full record

SynthesisThe patient2025

Measuring Fatigue in Multiple Sclerosis: A Rapid Review.

Tergel Namsrai, Anne Parkinson, Richard Burns, Geoffrey Herkes, Mark Elisha, Katrina Chisholm, Janet Drew, Vanessa Fanning, Anne Brüstle, Hanna Suominen and 2 more

Abstract readSystematic Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Tergel NamsraiNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Anne ParkinsonNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Richard BurnsNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Geoffrey HerkesNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Mark ElishaNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Katrina ChisholmNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Janet DrewNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Vanessa FanningNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Anne BrüstleThe John Curtin School of Medical Research, The Australian National University, Canberra, Australia.
Hanna SuominenSchool of Medicine and Psychology, The Australian National University, Canberra, Australia.
Nicolas CherbuinNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia.
Jane DesboroughNational Centre for Epidemiology and Population Health, The Australian National University, Building 63A, Acton, ACT, 2601, Australia. Jane.Desborough@anu.edu.au.ORCID 0000-0003-1406-4593

Funding

International Progressive MS Alliance 2023 Well-being RFAInternational Progressive MS Alliance Application ID: PA-2304-41169
6 · The paper itself

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.

Indexed as

FatigueMultiple SclerosisAdultFemaleHumansMaleMiddle AgedSeverity of Illness Index

Identifiers

PMID40880040
PMCPMC12559044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.