Background: Evidence of the efficacy of Shenfu injection (SFI) in the treatment of heart failure (HF) is inconsistent. This study aimed to strictly evaluate the methodological quality, reporting quality, and evidence quality of systematic reviews (SRs) and meta-analyses (MAs) on the efficacy of SFI. Methods: From inception to December 2020, using standardized search strategies, we searched for relevant SRs and MAs in the following seven databases: Cochrane library, Embase, PubMed, SinoMed, China National Knowledge Infrastructure (CNKI), Wanfang Database, and VIP Database. The Appraisal Tool for Systematic Reviews of Randomized and Observational Studies 2 (AMSTAR-2) and Preferred Reporting Item for Systematic Reviews and Meta-Analyses (PRISMA) tools were used to evaluate the methodological and reporting quality of SRs, respectively. The quality of results was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) tool. If necessary, we conducted quantitative synthesis or descriptive analysis of the original data.Results: There were 12 SRs/MAs involving 302 original randomized controlled trials (RCTs) and more than 22,445 participants (the total number was not mentioned in 1 study). The treatment group was classified as SFI combined with western medicine (WM), while the control group was WM alone. The methodological quality of all the literatures was very low, and the quality of reports was relatively good, with an average PRISMA score of 18.25 points. We evaluated 52 outcomes, of which 3 were moderate quality, 13 were low quality, and the rest were very low quality. Low quality evidences indicated that the clinical efficacy of SFI combined with WM for HF was better than that of WM, which can improve the quality of life and cardiac function of patients.Conclusions: It appeared that SFI was effective in the treatment of HF. Due to the low quality of methodology and reports in the literature, we cannot be sure of the results. We strongly recommend that more high-level RCTs be carried out in the future. Besides, researchers should strictly comply with the AMSTAR-2, PRISMA, and GRADE guidelines for SRs.

Background: Chronic fatigue syndrome (CFS) is a debilitating chronic disease of unknown etiology that is recognized by the World Health Organization (WHO) and the United States Center for Disease Control and Prevention (US CDC) as a disorder of the brain. CFS affects 1% (17–24 million people) of the world's population and is a major and costly public health problem. In traditional Chinese medicine (TCM), acupuncture can achieve a certain effect in the treatment of chronic fatigue syndrome, but evidence-based medicine is controversial. This protocol aims to multi-evaluate the literature quality and evidence quality of the current systematic reviews (SRs)/meta-analyses (MAs) of acupuncture treatment for chronic fatigue syndrome, and provide intuitive and reliable evidence synthesis and decision-making basis for clinical treatment. Methods: Eight databases will be searched from their inception to 1 June, 2020: the Chinese Biomedical Literature Database (CBM), China Science and Technology Journal Database (VIP), China National Knowledge Infrastructure (CNKI), WanFang Database (WF), Web of Science, Embase, PubMed, and Cochrane Library. Published systematic reviews that were reported in Chinese or English, and the included studies were randomized controlled clinical trials (RCTs) for acupuncture in people with CFS will be included. Reviews selection, data extraction and management, and assessment of the study quality will be completed independently by 2 or more reviewers. The quality of evidence, methodological quality, and reporting quality will be evaluated by using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE), A Measurement Tool to Assessment of Multiple Systematic Reviews-2 (AMSTAR-2), Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), and Adobe Illustrator Creative Cloud (Adobe Illustrator CC) will be used to draw and optimize the radar plot. Results: The article in this overview will be submitted for publication in a peer-reviewed journal. Conclusion: We hope to collect evidence from accessible and useful systematic reviews of acupuncture treatment for chronic fatigue syndrome, to provide visual and scientific decision-making methods for more clinical practice and medical research. Systematic Review Registration: INPLASY 202060052.