Abstract
Background
Acupuncture and moxibustion has been applied worldwide in the treatment of various pain diseases including lumbar disc herniation (LDH) and other pain, However, there has been no bibliometric analysis on this aspect in the past five years. Therefore, this study was carried out for finding research trends and fronts in this field using Citespace and VOSviewer.
Methods
Publications about acupuncture therapy for LDH were extracted from the Web of Science database and PubMed with an unlimited time frame. A bibliometric analysis and visualization of results was conducted using CiteSpace 6.1.R3 and VOSviewer 1.6.18 on the information of the annual publication, countries, journals, institutions, authors, references, and keywords.
Results
A total of 127 publications were included, and the number of publications had increased noticeably over the past 30 years and reached a peak in the past 3 years. The most productive country with the most publications was China, whose Medical University was the institution with the highest volume of publications. The most productive author was Chen Rixin, while the most-cited author was Kreiner DS. Chinese Acupuncture and Moxibustion was the journal with the most publications, and Spine Journal was the most frequently cited journal. In cited references, an article published in The New England Journal of Medicine by Deyo RA had the most citations and the highest centrality. Of the keywords, the five most frequently used keywords include lumbar disc herniation, acupuncture, low back pain, intervertebral disc displacement, and management.
Conclusion
Acupuncture and moxibustion can help to relieve symptoms in patients. However, this field is in the early stages of development and requires more high-quality research studies and international collaborations. In addition, exploring the effectiveness and mechanism of acupuncture for LDH is the hot trend in the future.
Abbreviations
WoS, Web of Science; RCT, randomized controlled trial; LDH, lumbar disc herniation; IF, impact factor.
Data Sharing Statement
Raw data are obtained directly from the Web of Science Core Collection (WoSCC) and PubMed.
Research Ethics
These data are downloaded from the Web of Science and PubMed databases; these are secondary data and do not involve interactions with animals or humans.
Acknowledgments
The authors would like to express their appreciation to Professor Chen Chaomei, who developed CiteSpace and opening its access.
Author Contributions
All authors contributed to conception and design, execution, data acquisition, analysis, and interpretation; participated in drafting or revising the article; have agreed on the journal to which the article will be submitted; gave final approval for the version to be published and agree to be responsible for all aspects of the work.
Disclosure
The authors declare that there are no conflicts of interest in this work.