Evidence map›Paper›PMID 33961198›Full record

SynthesisNeuropsychology review2022

Neurostructural and Neurophysiological Correlates of Multiple Sclerosis Physical Fatigue: Systematic Review and Meta-Analysis of Cross-Sectional Studies.

Paula M Ellison, Stuart Goodall, Niamh Kennedy, Helen Dawes, Allan Clark, Valerie Pomeroy, Martin Duddy, Mark R Baker, John M Saxton

Open access · hybridAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Neuropsychology review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
2.0field-weighted citation impact, top 14% of its field
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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  5. Trial
  6. Article
  7. Article
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  11. Observational
  12. Impaired lung function in multiple sclerosis: a single-center observational study in 371 persons.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Observational
  13. Article
  14. Review
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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

9 authors at 6 institutions in 1 country.

Paula M EllisonDepartment of Sport, Exercise & Rehabilitation, University of Northumbria, Newcastle upon Tyne, UK.
Stuart GoodallDepartment of Sport, Exercise & Rehabilitation, University of Northumbria, Newcastle upon Tyne, UK.
Niamh KennedySchool of Psychology, Ulster University, Coleraine, Northern Ireland, UK.
Helen DawesDepartment of Sport and Health Sciences, Oxford Brookes University, Oxford, UK.
Allan ClarkNorwich Medical School, University of East Anglia, Norwich, UK.
Valerie PomeroySchool of Health Sciences and NIHR Brain Injury MedTech Cooperative, University of East Anglia, Norwich, UK.
Martin DuddyNeurology Department, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
Mark R BakerNeurology Department, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
John M SaxtonDepartment of Sport, Health & Exercise Science, University of Hull, Hull, UK. john.saxton@hull.ac.uk.ORCID 0000-0003-1945-9455
Northumbria University · GBRoyal Victoria Infirmary · GBUniversity of East Anglia · GBOxford Brookes University · GBUniversity of Hull · GBUniversity of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigue is one of the most debilitating symptoms for people with multiple sclerosis (PwMS). By consolidating a diverse and conflicting evidence-base, this systematic review and meta-analysis aimed to gain new insights into the neurobiology of MS fatigue. MEDLINE, ProQuest, CINAHL, Web of Science databases and grey literature were searched using Medical Subject Headings. Eligible studies compared neuroimaging and neurophysiological data between people experiencing high (MS-HF) versus low (MS-LF) levels of perceived MS fatigue, as defined by validated fatigue questionnaire cut-points. Data were available from 66 studies, with 46 used for meta-analyses. Neuroimaging studies revealed lower volumetric measures in MS-HF versus MS-LF for whole brain (-22.74 ml; 95% CI: -37.72 to -7.76 ml; p = 0.003), grey matter (-18.81 ml; 95% CI: -29.60 to -8.03 ml; p < 0.001), putamen (-0.40 ml; 95% CI: -0.69 to -0.10 ml; p = 0.008) and acumbens (-0.09 ml; 95% CI: -0.15 to -0.03 ml; p = 0.003) and a higher volume of T1-weighted hypointense lesions (1.10 ml; 95% CI: 0.47 to 1.73 ml; p < 0.001). Neurophysiological data showed reduced lower-limb maximum voluntary force production (-19.23 N; 95% CI: -35.93 to -2.53 N; p = 0.02) and an attenuation of upper-limb (-5.77%; 95% CI:-8.61 to -2.93%; p < 0.0001) and lower-limb (-2.16%; 95% CI:-4.24 to -0.07%; p = 0.04) skeletal muscle voluntary activation, accompanied by more pronounced upper-limb fatigability (-5.61%; 95% CI: -9.57 to -1.65%; p = 0.006) in MS-HF versus MS-LF. Results suggest that MS fatigue is characterised by greater cortico-subcortical grey matter atrophy and neural lesions, accompanied by neurophysiological decrements, which include reduced strength and voluntary activation. Prospero registration Prospero registration number: CRD42016017934.

Indexed as

BrainFatigueMultiple SclerosisCross-Sectional StudiesHumansOrgan SizeFatigueMultiple sclerosisNeuroimagingNeurophysiologyNeurostructural

Identifiers

PMID33961198
PMCPMC9381450
OpenAlexW3127370167

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.