| Summary: | Introduction Heart failure (HF) has always been an important issue in global public health. The research and development of traditional Chinese medicine (TCM) provide more possibilities for improving the prognosis of HF patients. Because multiple TCM injections (TCMIs) are being widely applied in clinical work, it is important to choose the right TCMIs for HF patients. The purpose of this study is to assess and compare the effect of different TCMIs for HF using network meta-analysis (NMA) and further provide references for clinical decision-making.Methods and analysis The clinical randomised controlled trials (RCTs) and meta-analyses of TCMIs for treating HF will be searched in the relevant database, including PubMed, EMBASE, Cochrane Library (No. 2 of 2020), Chinese BioMedical Literature Database, China National Knowledge Infrastructure, Wan Fang Database and Chinese Scientific Journal Database from inception to 29 February 2020. The outcomes of interest include all-cause mortality, rehospitalisation rate, left ventricular ejection fraction, left ventricular end-diastolic diameter, left ventricular end-systolic diameter, brain natriuretic peptide (BNP), N-terminal pro-BNP, cardiac output, stroke volume, 6 min walking distance and adverse events. The risk of bias assessment of the included RCTs will be conducted according to the Cochrane Collaboration’s tool for assessing the risk of bias. NMA will be performed in a Bayesian hierarchical framework using R V.3.6.1 with the gemtc package. Finally, we will rank the efficacy of these treatment programmes according to the surface under the cumulative ranking curve, and perform quality assessment and recommendation grading of the evidence according to the Grading of Recommendations Assessment, Development and Evaluation system.Ethics and dissemination This study will extract data from the published literature and will not involve private information from individuals or compromise their rights. Therefore, the study does not require ethical approval. The results will eventually be published in a peer-reviewed journal and disseminated at relevant conferences.PROSPERO registration number CRD42020166900.
|
|---|
