BACKGROUND: Poststroke depression is a common secondary mental disorder after stroke, which increases the recurrence rate and mortality rate after stroke and hinders the recovery of function. As a combination therapy, simple acupuncture combined with fluoxetine has achieved good clinical effect, but there is a lack of evidence-based medicine. The purpose of this study is to evaluate the efficacy and safety of acupuncture combined with fluoxetine in the treatment of poststroke depression by meta-analysis. METHODS: Search Chinese and English databases: China national knowledge infrastructure, VP information Chinese Journal Service Platform, Wanfang, the China Biomedical Database, PubMed, Embase, the Cochrane Library, and web of science. A randomized controlled trial of simple acupuncture combined with fluoxetine in the treatment of poststroke depression will be selected. The retrieval time is of the establishment of the database in January 2021. Selected literature is extracted and deleted by 2 researchers, and the quality of the included literature is evaluated. The included literature is analyzed by Meta with RevMan5.3 software. RESULTS: In this study, the efficacy and safety of acupuncture combined with fluoxetine in the treatment of post-stroke depression are evaluated by Hamilton Depression scale (HAMD) and its reduction rate, Treatment Emergency Symptom Scale, Self-rating Depression Scale, and Activities of Daily living scale. CONCLUSION: This study will provide reliable evidence-based evidence for the clinical application of acupuncture combined with fluoxetine in the treatment of post-stroke depression. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/5J896.
BACKGROUND: Poststroke depression is a common secondary mental disorder after stroke, which increases the recurrence rate and mortality rate after stroke and hinders the recovery of function. As a combination therapy, simple acupuncture combined with fluoxetine has achieved good clinical effect, but there is a lack of evidence-based medicine. The purpose of this study is to evaluate the efficacy and safety of acupuncture combined with fluoxetine in the treatment of poststroke depression by meta-analysis. METHODS: Search Chinese and English databases: China national knowledge infrastructure, VP information Chinese Journal Service Platform, Wanfang, the China Biomedical Database, PubMed, Embase, the Cochrane Library, and web of science. A randomized controlled trial of simple acupuncture combined with fluoxetine in the treatment of poststroke depression will be selected. The retrieval time is of the establishment of the database in January 2021. Selected literature is extracted and deleted by 2 researchers, and the quality of the included literature is evaluated. The included literature is analyzed by Meta with RevMan5.3 software. RESULTS: In this study, the efficacy and safety of acupuncture combined with fluoxetine in the treatment of post-stroke depression are evaluated by Hamilton Depression scale (HAMD) and its reduction rate, Treatment Emergency Symptom Scale, Self-rating Depression Scale, and Activities of Daily living scale. CONCLUSION: This study will provide reliable evidence-based evidence for the clinical application of acupuncture combined with fluoxetine in the treatment of post-stroke depression. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/5J896.
Authors: Dariush Mozaffarian; Emelia J Benjamin; Alan S Go; Donna K Arnett; Michael J Blaha; Mary Cushman; Sarah de Ferranti; Jean-Pierre Després; Heather J Fullerton; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Simin Liu; Rachel H Mackey; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Paul Muntner; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Graham Nichol; Latha Palaniappan; Dilip K Pandey; Mathew J Reeves; Carlos J Rodriguez; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Joshua Z Willey; Daniel Woo; Robert W Yeh; Melanie B Turner Journal: Circulation Date: 2014-12-17 Impact factor: 29.690
Authors: Emelia J Benjamin; Salim S Virani; Clifton W Callaway; Alanna M Chamberlain; Alexander R Chang; Susan Cheng; Stephanie E Chiuve; Mary Cushman; Francesca N Delling; Rajat Deo; Sarah D de Ferranti; Jane F Ferguson; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Pamela L Lutsey; Jason S Mackey; David B Matchar; Kunihiro Matsushita; Michael E Mussolino; Khurram Nasir; Martin O'Flaherty; Latha P Palaniappan; Ambarish Pandey; Dilip K Pandey; Mathew J Reeves; Matthew D Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Uchechukwu K A Sampson; Gary M Satou; Svati H Shah; Nicole L Spartano; David L Tirschwell; Connie W Tsao; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner Journal: Circulation Date: 2018-01-31 Impact factor: 29.690
Authors: G Espárrago Llorca; L Castilla-Guerra; M C Fernández Moreno; S Ruiz Doblado; M D Jiménez Hernández Journal: Neurologia Date: 2012-08-16 Impact factor: 3.109