A network Meta-analysis on treating hypertensive disorder complicating pregnancy with TCM medicine injection
Objective:Comparison of therapeutic effects of different chinese medicine injection(CMI)on hypertensive disorders complicating pregnancy(HDCP)by network Meta-analysis.Methods:PubMed,The Cochrane Library,Embase,Web of Science,WanFang Data,VIP,CNKI and CBM databases were searched to collect randomized controlled trials(RCTs)of CMI in the treatment of HDCP published from database establishment to February 28,2022.RevMan 5.3 and STATA 15.1 software were used for statistical analysis of data.Results:The 86 RCTs involving a total of 8 CMIs including 8 990 patients were included.The results of network Meta-analysis showed that:① In terms of improving the total clinical efficacy,the top 3 CMI of SUCRA were the Huangqi injection(黄芪注射液),the Mailuoning injection(脉络宁注射液)and the Shenmai injection(参麦注射液).②In terms of reducing systolic blood pressure,the top 3 CMI of SUCRA were the Huangqi injection,the Shenmai injection,and the Chuanxiongqin injection(川芎嗪注射液).③In terms of reducing diastolic blood pressure,the top 3 CMI of SUCRA were the Huangqi injection,the Chuanxiongqin injection,and the Danshen Chuanxiongqin injection(丹参川芎嗪注射液).④In terms of reducing postpartum hemorrhage rate,the top 3 CMI of SUCRA were the Chuanxiongqin injection,the Huangqi injection and the Danshen injection(丹参注射液).⑤In terms of reducing the rate of neonatal asphyxia,the top 3 CMI of SUCRA were the Huangqi injection,the Chuanxiongqin injection and the Danshen injection.Conclusion:CMI combined with conventional western medicine treatment can improve the clinical efficacy of HDCP,reduce blood pressure,reduce the occurrence of postpartum hemorrhage and neonatal asphyxia complications.However,in view of the large differences in the quality of the included literatures and the number of studies,it is still necessary to carry out high-quality multicenter,large-sample,randomized double-blind trials for supporting.
TCM medicine injectionHypertensive disorder complicating pregnancyNetwork Meta-analysis