A bibliometric analysis on immunotherapy treatments for systemic lupus erythematosus: analysis of published evidence from 2014 to 2024
摘要
Immunotherapy has been widely used in systemic lupus erythematosus (SLE) research. We analyzed the published articles on SLE immunotherapy to understand the research trends and hot topics in this field.
MethodsEnglish-language literature on SLE immunotherapy was searched from Web of Science Core Collection database for the period 2014–2024 incorporating both review articles and articles. Temporal publication patterns, inter-institutional cooperative networks, and emerging thematic priorities within this investigative sphere were rigorously analyzed through computational scientometric examination using CiteSpace analytical software.
ResultsFrom an initial dataset of 402 articles, 374 records satisfied inclusion parameters for comprehensive evaluation. The USA (141 articles) emerged as the predominant contributor, with Harvard University (31 articles) representing the most productive institutional entity. At the individual investigator level, Abdel-Wahab, Noharas (4 articles) identified as the most prolific contributor. The highest-cited reference was Mackensen A (2022) with 20 citations. Co-citation network clustering revealed ten principal research domains: forkhead box P3, ICIs, SLE, multiple sclerosis, expression, systemic autoimmunity, term follow-up, n6-methyladenosine, T cells, and antiphospholipid syndrome. Temporal keyword analysis detected emerging investigative priorities including risk (strength 3.46), double blind (strength 3.2), primary Sjogrens syndrome (strength 3.13), low-dose interleukin 2 (strength 3.05), and cutting edge (strength 3.02).
ConclusionsThis scientometric evaluation of 374 scholarly works emphasizes the critical importance of transnational collaborations among premier research institutions and developed nations in propelling SLE immunotherapy innovation. This bibliometric analysis reveals research trends and unmet needs in SLE immune therapies, guiding biologics development and precision medicine through core pathway identification and optimized trial designs.