Investigating post-stroke fatigue: An individual participant data meta-analysis

Investigating post-stroke fatigue: An individual participant data meta-analysis

Objective: The prevalence of post-stroke fatigue differs widely across studies, and reasons for such divergence are unclear. We aimed to collate individual data on post-stroke fatigue from multiple studies to facilitate high-powered meta-analysis, thus increasing our understanding of this complex ph...

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Bibliographic Details
Main Authors: Annoni, J.-M (Author), Badaru, U. (Author), Churilov, L. (Author), Cumming, T.B (Author), English, C. (Author), Ghotbi, N. (Author), Harbison, J. (Author), Kwakkel, G. (Author), Lerdal, A. (Author), Marquez, J. (Author), Mead, G. (Author), Mills, R. (Author), Naess, H. (Author), Nyland, H. (Author), Schmid, A. (Author), Tang, W.K (Author), Tseng, B. (Author), van de Port, I. (Author), Yeo, A.B (Author)
Format: Article
Language:English
Published: Elsevier Inc. 2018
Subjects:
adolescent
Adolescent
adult
Adult
aged
Aged
Aged, 80 and over
Article
cerebrovascular accident
clinical assessment
complication
depression
Depression
disability severity
disease association
fatigue
Fatigue
Fatigue Severity Scale
female
Female
human
Humans
Individual data
male
Male
meta analysis
Meta-analysis
middle aged
Middle Aged
outcome assessment
post stroke fatigue
prevalence
Stroke
systematic review
time to treatment
very elderly
young adult
Young Adult
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