Evidence map›Paper›PMID 37485902›Full record

SynthesisInternational journal of stroke : official journal of the International Stroke Society2023

Neuroimaging correlates of post-stroke fatigue: A systematic review and meta-analysis.

Amy A Jolly, Adriana Zainurin, Gillian Mead, Hugh S Markus

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in International journal of stroke : official journal of the International Stroke Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Neuroimaging correlates of post-stroke fatigue: A systematic review and meta-analysis.International journal of stroke : official journal of the International Stroke Society · 2023
    Pooled it
  2. Trial
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  14. Dysphagia increases the risk of post-stroke fatigue.European journal of neurology · 2025
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  15. Article
  16. Lesion mapping in neuropsychological research: A practical and conceptual guide.Cortex; a journal devoted to the study of the nervous system and behavior · 2024
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  18. Review
  19. 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

4 authors at 2 institutions in 1 country.

Amy A JollyStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.ORCID 0000-0003-2669-4998
Adriana ZainurinStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
Gillian MeadUsher Institute, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-7494-2023
Hugh S MarkusStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.ORCID 0000-0002-9794-5996
University of Cambridge · GBUniversity of Edinburgh · GB

Funding

Department of Health NIHR203312
6 · The paper itself

Abstract

backgroundFatigue is a common and disabling symptom following stroke, but its underlying mechanisms are unknown. Associations with a number of imaging features have been proposed.

aimsWe aimed to assess whether neuroimaging parameters could better inform our understanding of possible causes of post-stroke fatigue (PSF) through systematic review and meta-analysis.

methodsUsing a predefined protocol registered with PROSPERO (ID: CRD42022303168), we searched EMBASE, MEDLINE, PubMed, and PsycInfo for studies assessing PSF and computerized tomography (CT), magnetic resonance (MR), positron emission tomography (PET) imaging, or diffusion tensor imaging (DTI). We extracted neuroimaging parameters and narratively analyzed study results to assess any association with PSF. Where there were 3+ similar studies, we carried out a meta-analysis using inverse-variance random-effects model to estimate the total association of each neuroimaging parameter on PSF. The risk of bias was assessed using the Newcastle and Ottawa Scale.

resultsWe identified 46 studies (

conclusionThere was little evidence for the association between any neuroimaging parameters and PSF. Future studies should utilize advanced imaging techniques to fully understand the role of lesion location in PSF, while the role of altered brain networks in mediating PSF merits further research.

Indexed as

StrokeBrainDiffusion Tensor ImagingFatigueHumansMagnetic Resonance ImagingNeuroimagingfatigueMRIneuroimagingpost-stroke fatigueStroke

Identifiers

PMID37485902
PMCPMC10614177
OpenAlexW4385186839

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.