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The Efficacy and Safety of Acupuncture for Depression-Related Insomnia: Protocol for a Systematic Review and Meta-Analysis

BACKGROUND: There is a bidirectional relationship between depression and insomnia. Depression-related insomnia is common and remains a challenging medical condition. Although acupuncture might be a potential treatment option and increasing randomized controlled trials (RCTs) have emerged, currently...

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Detalles Bibliográficos
Autores principales: Hu, Hantong, Li, Zengtu, Cheng, Yingying, Gao, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289569/
https://www.ncbi.nlm.nih.gov/pubmed/35860419
http://dx.doi.org/10.2147/JPR.S370476
Descripción
Sumario:BACKGROUND: There is a bidirectional relationship between depression and insomnia. Depression-related insomnia is common and remains a challenging medical condition. Although acupuncture might be a potential treatment option and increasing randomized controlled trials (RCTs) have emerged, currently available evidence regarding the effect and safety of acupuncture on depression-related insomnia remains inconclusive. Thus, this protocol aims to systematically synthesize the evidence about the efficacy and safety of acupuncture for depression-related insomnia. METHODS AND ANALYSIS: Eligible RCTs will be searched in nine representative databases and pooled in meta-analyses using RevMan 5.3. The methodological quality of included studies will be rated by Cochrane’s risk of bias 2.0 tool. The quality of evidence will be appraised using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach. Subgroup analysis, sensitivity analyses, and publication bias will also be conducted. DISCUSSION: This protocol outlines the planned scope and methodology for an upcoming systematic review meta-analysis, which will critically synthesize the evidence about the efficacy and safety of acupuncture on depression-related insomnia. Findings will shed light on fulfilling evidence gaps and influence evidence-based treatment decisions for clinicians in the treatment of depression-related insomnia.