Abstract
Various biological disease-modifying anti-rheumatic drugs (bDMARDs) have been applied for treating axial spondyloarthritis (axSpA). However, there is a glaring absence of a bibliometric analysis on bDMARDs against axSpA. Articles related to use of bDMARDs in treating axSpA published from 2004 to 2022 were searched from the Web of Science Core Collection. VOS viewer 1.6.18 and CiteSpace 6.1.R2 were used to analyze and visualize the quantity and citations of publications, as well as to identify “research hotspots” and trends in this field. BibExcel version 1.0.0 and gCLUTO version 1.0 were used to build matrices for bi-clustering analysis. A total of 2546 articles referring to bDMARDs for treatment of axSpA were included in this bibliometric analysis. Overall, the number of publications has been increasing steadily annually. The USA (23.21%, 591 publications) ranked first with the largest output of papers, followed by Germany, and the Netherlands. Rheumazentrum Ruhrgebiet ranked first as the most frequent publisher (119 articles). Annals of the Rheumatic Diseases published the most documents (6.76%, 172 publications) in this field. The predominant hotspots have been “tuberculosis,” “IL-17,” and “quality of life” in the field until 2020. Since 2015, “biosimilar pharmaceuticals” has retained the popularity. Current research hotspots are “spinal radiographic progression,” Janus kinase (JAK) inhibitors, and adverse events (AEs). Machine learning has become popular gradually. Globally, there has been a steady increase in the number of studies on bDMARDs use against axSpA. JAK inhibitors, spinal radiographic progression, biosimilar pharmaceuticals, and AEs are current research hotspots. Machine learning is emerging research hotspots and trends in this field.
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Funding
This work is supported by the National High Level Hospital Clinical Research Funding (2022-NHLHCRF-LX-02-0103), the Elite Medical Professionals project of China-Japan Friendship Hospital (ZRJY2021-QM14), the Capital’s Funds for Health Improvement and Research (2020–4-40610), the National Regional Traditional Chinese Medicine (Specialty) Treatment Center Project (2019-ZX-006), and the National Key Clinical Specialty Building Project (2011-ZDZK-001).
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Conception and design: Luo J, Tao QW. Analysis and interpretation of the data: all authors. Drafting of the article: He Q, Chen JQ. Critical revision of the article: all authors. Statistical analysis: He Q, Yu XB, Liao JH. Final approval of the article: all authors.
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Significance and innovations
We conducted the first bibliometric analysis and disclosed the topic trends and knowledge structure of bibliometric analysis concentrating on the knowledge mapping of biological disease-modifying anti-rheumatic drugs (bDMARDs) for treating axial spondyloarthritis (axSpA) over the past 18 years systematically. Clinical efficacy and safety of tumor necrosis factor inhibitor are included in mature and comprehensive studies, whereas spinal radiographic progression, Janus kinase inhibitors, biosimilar pharmaceuticals, adverse events of biologics, and machine learning are studies with high potential for advancement. The purpose of this study is to fill the information gap, outline the current state of research development, and forecast the research trend to future researchers on bDMARDs in treating axSpA.
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He, Q., Chen, Jq., Yu, Xb. et al. Knowledge mapping of biological disease-modifying anti-rheumatic drugs for axial spondyloarthritis: a bibliometric study. Clin Rheumatol 42, 1999–2011 (2023). https://doi.org/10.1007/s10067-023-06540-9
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DOI: https://doi.org/10.1007/s10067-023-06540-9