Bibliometric and visualized analysis of nonpharmaceutical TCM therapies for rheumatoid arthritis over the last 20...

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease that poses a significant threat to a patient's quality of life. Commonly used drugs include glucocorticoids, nonsteroidal anti-inflammatory drugs, disease-modifying antirheumatic drugs, and biological agents; however, there are associated side effects. Complementary and alternative medicines can play positive roles. Bibliometric analysis of herbal medicines for RA has been conducted, but current research trends in nonpharmaceutical traditional Chinese medicine (TCM) therapies for the treatment of RA have not been studied. Here, we conducted a bibliometric analysis of the application of nonpharmaceutical TCM therapies for RA over the last 20 years.

We retrieved relevant literature from the Web of Science Core Collection database and used VOSviewer and CiteSpace software for analysis. Visualized maps were then generated to display the relationships between the author, country, institution, and keywords.

A total of 567 articles were included in the final analysis. The number of annual publications on nonpharmaceutical TCM interventions for RA increased over the study period. The journal with the highest number of publications on this topic was Evidence-based Complementary and Alternative Medicine; however, Cochrane Database of Systematic Reviews had the most citations. Collaborations were observed among worldwide institutions, with the People's Republic of China playing a dominant role in the research on treatment of RA using nonpharmaceutical TCM therapies. Ernst E was the most productive author, with 11 articles, whereas Green S had the highest number of citations (287) at the time of retrieval. Specific improvements in the efficacy and selection of nonpharmaceutical therapies were the main research hotspots based on citation burst analysis.

This study characterizes the trends in the literature for nonpharmaceutical TCM therapy for RA over the past 20 years; showcasing the current research status for relevant researchers and their teams and providing a reference for future research directions.