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META ANALYSIS
Year : 2022  |  Volume : 70  |  Issue : 2  |  Page : 676--681

Association Between Stroke Characteristics and Post-Stroke Fatigue: A Meta-Analysis

Jun Shu, Yiqing Ren, Guidong Liu, Wenshi Wei 
 Department of Neurology, Huadong Hospital Affiliated to Fudan University, Shanghai, China

Correspondence Address:
Dr. Wenshi Wei
Department of Neurology, Huadong Hospital Affiliated to Fudan University, No. 221, West Yan An Road, Shanghai
China

Background: Post-stroke fatigue (PSF), a highly distressing symptom, could exert an influence on the quality of life of stroke survivors. A previous meta-analysis reported that PSF was associated with mood disturbances such as depressive symptoms and anxiety. However, the association between stroke characteristics (stroke type and location) and PSF remains unclear. Objective: We performed a meta-analysis to study the association between stroke characteristics and PSF. Material and Methods: We conducted a search of electronic databases (PubMed, Web of Science, Cochrane Library) from the inception of all databases up to July 9, 2019. The quality of eligible articles was evaluated. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were applied to represent the combined effect value of each study. Results: Eight eligible studies including a total of 1816 stoke patients were identified. Three studies discussed the association between stroke type and PSF, and five studies investigated the relationship between stroke location and PSF. The results demonstrated PSF had a strong correlation with stroke type (OR = 2.42, 95% CI = [1.27, 4.61], P = 0.007) but was not relevant to stroke location, indicating that PSF was a complex, heterogeneous syndrome and that stroke characteristics may play only a very small role in the risk of developing PSF. Conclusions: Our meta-analysis indicated that PSF was closely relevant to stroke type and had no significant relationship with stroke location. However, the findings should be interpreted cautiously. Thus, we suggest an updated meta-analysis on this subject when more comprehensive studies that explore the above issue are available.


How to cite this article:
Shu J, Ren Y, Liu G, Wei W. Association Between Stroke Characteristics and Post-Stroke Fatigue: A Meta-Analysis.Neurol India 2022;70:676-681


How to cite this URL:
Shu J, Ren Y, Liu G, Wei W. Association Between Stroke Characteristics and Post-Stroke Fatigue: A Meta-Analysis. Neurol India [serial online] 2022 [cited 2022 Nov 26 ];70:676-681
Available from: https://www.neurologyindia.com/article.asp?issn=0028-3886;year=2022;volume=70;issue=2;spage=676;epage=681;aulast=Shu;type=0