A systematic review of noninvasive brain stimulation for post-stroke depression

2018 ◽  
Vol 238 ◽  
pp. 69-78 ◽  
Author(s):  
Madalina Bucur ◽  
Costanza Papagno
2013 ◽  
Vol 10 (02) ◽  
pp. 108-129 ◽  
Author(s):  
W. Gaebel ◽  
W. Wannagat ◽  
J. Zielasek

SummaryWe performed a systematic review of randomized placebo-controlled pharmacological and non-pharmacological trials for the therapy and prevention of post-stroke depression that have been published between 1980 and 2011. We initially identified 2 260 records of which 28 studies were finally included into this review. A meta-analytic approach was hampered by considerable differences regarding the kinds of therapeutic regimens and the study durations. Modest effects favoring treatment of post-stroke depression could be found for pharmacological treatment as well as repetitive transcranial magnetic stimulation. For the prevention of post-stroke depression, antidepressant pharmacotherapy showed promising results. However, large-scale studies with better standardized study populations, optimized placebo control procedures in non-pharmacological studies, and replication in larger follow-up studies are still necessary to find the optimal therapeutic regimens to prevent and treat post-stroke depression.


2020 ◽  
Vol 20 (4) ◽  
pp. 401-412
Author(s):  
Alejandra Cardenas-Rojas ◽  
Kevin Pacheco-Barrios ◽  
Stefano Giannoni-Luza ◽  
Oscar Rivera-Torrejon ◽  
Felipe Fregni

2020 ◽  
Author(s):  
Ran Liu ◽  
Kun Zhang ◽  
Guangwei Cui ◽  
Qiuyu Tong ◽  
Wen Ma ◽  
...  

2018 ◽  
Vol 49 (4) ◽  
pp. 685-696 ◽  
Author(s):  
Martin Taylor-Rowan ◽  
Oyiza Momoh ◽  
Luis Ayerbe ◽  
Jonathan J. Evans ◽  
David J. Stott ◽  
...  

AbstractBackgroundDepression is a common post-stroke complication. Pre-stroke depression may be an important contributor, however the epidemiology of pre-stroke depression is poorly understood. Using systematic review and meta-analysis, we described the prevalence of pre-stroke depression and its association with post-stroke depression.MethodsWe searched multiple cross-disciplinary databases from inception to July 2017 and extracted data on the prevalence of pre-stroke depression and its association with post-stroke depression. We assessed the risk of bias (RoB) using validated tools. We described summary estimates of prevalence and summary odds ratio (OR) for association with post-stroke depression, using random-effects models. We performed subgroup analysis describing the effect of depression assessment method. We used a funnel plot to describe potential publication bias. The strength of evidence presented in this review was summarised via ‘GRADE’.ResultsOf 11 884 studies identified, 29 were included (total participantsn= 164 993). Pre-stroke depression pooled prevalence was 11.6% [95% confidence interval (CI) 9.2–14.7]; range: 0.4–24% (I295.8). Prevalence of pre-stroke depression varied by assessment method (p= 0.02) with clinical interview suggesting greater pre-stroke depression prevalence (~17%) than case-note review (9%) or self-report (11%). Pre-stroke depression was associated with increased odds of post-stroke depression; summary OR 3.0 (95% CI 2.3–4.0). All studies were judged to be at RoB: 59% of included studies had an uncertain RoB in stroke assessment; 83% had high or uncertain RoB for pre-stroke depression assessment. Funnel plot indicated no risk of publication bias. The strength of evidence based on GRADE was ‘very low’.ConclusionsOne in six stroke patients have had pre-stroke depression. Reported rates may be routinely underestimated due to limitations around assessment. Pre-stroke depression significantly increases odds of post-stroke depression.Protocol identifierPROSPERO identifier: CRD42017065544


2018 ◽  
Vol 34 (9) ◽  
pp. 1336-1345 ◽  
Author(s):  
Sara M. Vacas ◽  
Florindo Stella ◽  
Julia C. Loureiro ◽  
Frederico Simões do Couto ◽  
Albino J. Oliveira-Maia ◽  
...  

2018 ◽  
Vol 99 (2) ◽  
pp. 355-366.e1 ◽  
Author(s):  
Ana Paula S. Salazar ◽  
Patrícia G. Vaz ◽  
Ritchele R. Marchese ◽  
Cinara Stein ◽  
Camila Pinto ◽  
...  

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