Network meta-analysis of Chinese patent medicine adjuvant treatment of poststroke depression

BACKGROUND: Poststroke depression is one of the common complications of clinical cerebrovascular diseases. It is commonly seen in 3 to 6 months after the onset of stroke. The incidence rate is 22% to 75%. The patient not only has depression-related emotional symptoms, but also are accompanied by autonomic nervous disorders and other physical symptoms. It will also delay the recovery time of patients’ neurological function, cognitive function, and limb function due to different degrees of depression, and even further aggravate the mortality and risk of accidental death of cerebrovascular disease. In recent years, Chinese patent medicine combined with western medicine has been widely used in the treatment of this disease. Many clinical practices have proved that the adjuvant treatment of pure Chinese herbal medicine can effectively alleviate the poststroke depression state and reduce the neurological deficits. The author has sorted out the relevant literature and data analysis to screen out the seven most representative and commonly used Chinese patent medicine preparations in clinical treatment of poststroke depression, which have certain clinical comparability when the dosage form and syndrome type are relatively unified. The network meta-analysis method is used to select the best clinical treatment plan, so as to provide reference value and evidence-based medicine evidence for the clinical optimization of drug selection. METHODS: Using computer retrieval technology, comprehensive retrieval of CNKI, VIP, CBM, and WANFANG Chinese electronic database and the Cochrane Library, PubMed, Web of Science and EMBASE foreign electronic database. Search the clinical randomized controlled trials of these 7 kinds of Chinese patent medicines for adjuvant treatment of poststroke depression, and set a period of time is from the establishment of the database to May 31, 2020. The 3 authors will screen the literatures that meets the inclusion criteria, extract the data independently according to the predesigned rules, and evaluate the literature quality and bias risk of the included research according to the Cochrane 5.1 manual standard. R and the Aggregate Data Drug Information System software were used for data consolidation and network meta-analysis to evaluate the ranking probability of all interventions. RESULTS: This network meta-analysis and probability ranking will identify the best Chinese patent medicine adjuvant treatment for poststroke depression. CONCLUSION: This study will provide systematic evidence-based medicine evidence for Chinese patent medicine adjuvant treatment for poststroke depression, and help clinicians, patients with poststroke depression and decision-makers to make more effective, safer, and economic optimal treatment plan in the decision-making process. PROSPERO REGISTRATION NUMBER: CRD42020164543