Evidence Maping of Acupuncture for Chronic Obstructive Pulmonary Disease
Objective The purpose of this study is to arrange the clinical studies of acupuncture for chronic obstructive pulmonary dis-ease by utilizing the evidence map method,in order to analyze the current situation of chronic obstructive pulmonary disease.Methods The databases CNKI,WanFang Data,VIP,CBM,PubMed,Cochrane Library,EMBASE and Ovid web were searched on related arti-cles about chronic obstructive pulmonary disease treated by acupuncture-moxibustion,from initiation to March 2,2022.The analysis was conducted in terms of methodological qualitative evaluation,general trends in studies,sample size,intervention design,efficacy e-valuation indicators.This paper summarizes the evidence characteristics of the primary studies in the form of the combination of the graphs and thedescriptions,meanwhile evaluates the quality of the methodology of the systematic reviews(SR)/Meta-analysis via AM-STAR-2 tool.Results A total of 637 interventional studies and 20 systematic reviews were included.The overall trend of research is ris-ing and has increased in recent years;research interventions monotherapy for 371(58％)accounted for more than half of the articles,but also to the acupoints paste 203(55％)most of the articles,the two-armed test is dominant;pulmonary function tests,efficiency,acute exacerbation number is the existing acupuncture treatment of COPD clinical research focus more on the outcome indicators,while the high quality of systematic evaluation is less.Conclusion Acupuncture has superiority in treating COPD.Its interventions and effica-cy evaluation indexes have diversity,but their rationality needs to be optimized,and the outcome indexes still need to be optimized and selected;in the future,it is necessary to further expand the studies as well as improve the methodological quality of related systematic evaluations/Meta-analyses,and improve the study design and study protocols,so as to provide evidence support for the further optimi-zation of the research for evidence users and the related fields.
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NSTL
万方数据
