ArticleStroke research and treatment2012
Poststroke fatigue: who is at risk for an increase in fatigue?
Article in Stroke research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Neuroimaging correlates of post-stroke fatigue: A systematic review and meta-analysis.International journal of stroke : official journal of the International Stroke Society · 2023Pooled it
- 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 · 2021Pooled it
- Post-Stroke Fatigue in Saudi Arabia:Saudi medical journal · 2026Review
- Cortical-striatal network functional connectivity markers in poststroke fatigue: a single-centre fMRI case-control study protocol.BMJ open · 2024Article
- Perceptions of Post-Stroke Fatigue among Health Care Practitioners: A Qualitative Interview Study.Medicina (Kaunas, Lithuania) · 2023Article
- Prevalence of fatigue after stroke: A systematic review and meta-analysis.European stroke journal · 2021Review
- Effects of Self RehAbilitation Video Exercises (SAVE) on Functional Restorations in Patients with Subacute Stroke.Healthcare (Basel, Switzerland) · 2021Article
- Exploring the relationship between fatigue and circulating levels of the pro-inflammatory biomarkers interleukin-6 and C-reactive protein in the chronic stage of stroke recovery: A cross-sectional study.Brain, behavior, & immunity - health · 2020Article
- Article
- Observational
- Overcoming practical challenges to conducting clinical research in the inpatient stroke rehabilitation setting.Topics in stroke rehabilitation · 2015Article
- Factors Associated with Poststroke Fatigue: A Systematic Review.Stroke research and treatment · 2015Review
- Post-stroke fatigue: a deficit in corticomotor excitability?Brain : a journal of neurology · 2015Article
- Fatigue in Multiple Sclerosis Compared to Stroke.Frontiers in neurology · 2015Article
- Fatigue in the acute phase after first stroke predicts poorer physical health 18 months later.Neurology · 2013Article
- Physiotherapy needs assessment of people with stroke following discharge from hospital, stratified by acute functional independence measure score.Physiotherapy Canada. Physiotherapie Canada · 2013Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background. Several studies have examined determinants related to post-stroke fatigue. However, it is unclear which determinants can predict an increase in poststroke fatigue over time. Aim. This prospective cohort study aimed to identify determinants which predict an increase in post-stroke fatigue. Methods. A total of 250 patients with stroke were examined at inpatient rehabilitation discharge (T0) and 24 weeks later (T1). Fatigue was measured using the Fatigue Severity Scale (FSS). An increase in post-stroke fatigue was defined as an increase in the FSS score beyond the 95% limits of the standard error of measurement of the FSS (i.e., 1.41 points) between T0 and T1. Candidate determinants included personal factors, stroke characteristics, physical, cognitive, and emotional functions, and activities and participation and were assessed at T0. Factors predicting an increase in fatigue were identified using forward multivariate logistic regression analysis. Results. The only independent predictor of an increase in post-stroke fatigue was FSS (OR 0.50; 0.38-0.64, P < 0.001). The model including FSS at baseline correctly predicted 7.9% of the patients who showed increased fatigue at T1. Conclusion. The prognostic model to predict an increase in fatigue after stroke has limited predictive value, but baseline fatigue is the most important independent predictor. Overall, fatigue levels remained stable over time.
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Registered trials
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.