Evidence map›Paper›PMID 21445242›Full record

Trial reportPloS one2011

Fatigue after stroke: baseline predictors and influence on survival. Analysis of data from UK patients recruited in the International Stroke Trial.

Gillian E Mead, Catriona Graham, Paul Dorman, Slot Karsten Bruins, Steff C Lewis, Martin S Dennis, Peter A G Sandercock, UK Collaborators of IST

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 6 pooled it
–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

42 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Related risk factors associated with post-stroke fatigue: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Article
  12. Article
  13. Article
  14. Article
  15. Dysphagia increases the risk of post-stroke fatigue.European journal of neurology · 2025
    Article
  16. Association between sleep-disordered breathing and post-stroke fatigue in patients with ischemic stroke.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024
    Article
  17. Fatigue after spontaneous intracerebral haemorrhage: prevalence and associated factors.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Observational
  18. Article
  19. Review
  20. The Neurobiology of Pathological Fatigue: New Models, New Questions.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2022
    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

8 authors.

Gillian E MeadUniversity of Edinburgh, Edinburgh, United Kingdom. Gillian.e.mead@ed.ac.uk
Catriona Graham
Paul Dorman
Slot Karsten Bruins
Steff C Lewis
Martin S Dennis
Peter A G Sandercock
UK Collaborators of IST

Funding

Chief Scientist Office CZG/2/387Medical Research Council G0800803
6 · The paper itself

Abstract

background and purposeLittle is known about the associations of post-stroke fatigue or its influence on survival. The vitality component of the Short Form 36 (SF-36) is a valid and reliable measure of post-stroke fatigue. We sought to identify associates of post-stroke fatigue and determine whether fatigue predicted survival.

methodsWe used SF-36 vitality scores obtained by postal questionnaires from 1080 UK patients randomised in the International Stroke Trial, at a mean of 64 weeks after stroke onset. We used logistic regression to explore factors at randomisation which predicted SF-36 vitality at follow-up, and the relationship between SF-36 vitality and both SF-36 mental health and SF-36 emotional role function at follow-up. We used Cox proportional hazards to explore the influence of SF-36 vitality at follow-up on subsequent survival, using four different statistical models for handling missing data.

resultsFemale sex, increasing age, lower mental health and lower emotional role function scores were associated with greater degrees of fatigue after stroke (i.e. lower vitality scores) but these factors explained <30% of the variance (R(2)) in fatigue. In two models, fatigue at follow-up was associated with shorter subsequent survival.

conclusionIncreasing age, female sex, emotional role function and mental health were associated with increased fatigue at a mean of 64 weeks after stroke onset, but explained less than 30% of the variance. Fatigue was associated with reduced subsequent long-term survival in 2/4 models. Further work is needed to identify the biological substrate of fatigue and to clarify its influence on survival.

Indexed as

FatigueFemaleHumansMaleProportional Hazards ModelsQuality of LifeStrokeSurveys and QuestionnairesUnited Kingdom

Identifiers

PMID21445242
PMCPMC3060800

What OpenQuestion holds

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LicenceCC BY
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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.