Data Mining and Visual Analysis of Acupuncture and Moxibustion in Treating Chronic Pelvic Pain in Women
Objective To explore the acupoint selection rules of acupuncture and moxibustion for the treatment of chronic pelvic pain in women through data mining techniques,and analyse the research hotspots and frontiers in this field with the help of visual analysis tools.Methods The clinical research literature of acupuncture and moxibustion for the treatment of chronic pelvic pain in women,which was included in China National Knowledge Infrustruction(CNKI),Wanfang Data Knowledge Service Platform(Wanfang),China Science and Technology Journal Database(VIP),and PubMed from the time of establishment of the database to September 2023 was searched.Noteexpess 3.9 was used for de-weighting,Excel 2016 was used to plot the volume of publications,IBM SPSS Modeler 18.0 was used for correlation analysis of acupoints,and Vosviewer 1.6.18 and Citespace 6.3.R1 were used to visual analysis authors and keywords.Results Data mining included 278 Chinese literature and 15 English literature,of which contains a total of 314 sets of acupoint prescriptions and 94 acupoints.The core acupoints included Guanyuan(RN4),Sanyinjiao(SP6),Zhongji(RN3),etc.The association analysis showed that Sanyinjiao-Zhongji and Guanyuan-Zhongji had the highest level of support;the high-frequency meridians included conception vessel(CV),spleen and stomach meridians,etc.;and the commonly used specific acupoints were rendezvous points.The top four authors in terms of publications were Wang Xin,Meng Zhen-Zhen,Liao Mu-Xi,and Duan Zhi-Fang;the keyword hotspots were mainly about therapies,such as acupuncture and moxibustion,acupuncture,and warming-needle moxibustion.Conclusion Acupuncture and moxibustion for the treatment of chronic pelvic pain in women has a certain rules of selecting and using acupoints,and the hotspots of research are mainly based on clinical treatment,and the research on the mechanism is weak,which is expected to become a hotspot in the future.
acupuncture and moxibustionchronic pelvic paindata miningCitespaceVosviewervisual analysis
NETL
NSTL
万方数据
