重症肌无力发展全球趋势的知识图谱：文献计量学分析

摘要(中文译文)

重症肌无力（MG）是一种自身免疫性疾病，表现为获得性神经肌肉接头传递障碍。近二十年来，多种发病机制、免疫抑制剂的应用以及靶向免疫治疗已成为重要事件。然而，从复杂事件中提取最关键的信息以指导临床工作非常困难。因此，我们采用文献计量学方法进行总结和展望。以Web of Science核心合集（WoSCC）数据库中的科学引文索引扩展版（SCI-E）作为获取MG相关文章的资料来源。利用Scimago Graphica、CiteSpace、VOSviewer和bibliometrix进行文献计量学分析。构建并可视化知识网络图谱；对国家、机构、作者、期刊、参考文献和关键词进行评估。此外，应用GraphPad Prism和Microsoft Excel 365进行统计分析。截至2022年10月25日，共有9，970篇MG相关原创文章用于文献计量学分析；这些文章的累计被引次数为236，987次，H指数为201。美国在发文量（2，877篇）和H指数（134）方面排名第一。牛津大学的H指数最高（67），Udlice French Research University的发文量最高（319篇）。平均被引次数（66.19）、发文量（151篇）和H指数（53）最高的作者是Vincent A。有28篇文章仍处于被引爆发期。最终筛选出与临床试验和COVID-19相关的预测性关键词。我们对1966年至2022年间发表的9，970篇MG相关原创文章进行了文献计量学分析。最终，我们发现未来MG研究热点包括两大部分：（1）与MG疾病本身直接相关的研究：各种靶向生物制剂的临床试验；生物标志物与治疗决策、发病机制与结局事件之间的关系，最终服务于个体化管理或精准治疗；（2）与MG和COVID-19相关的研究：不同COVID-19变异株（如Omicron）对MG不良结局事件的影响；评估不同COVID-19疫苗对不同MG亚型的安全性。

Abstract

Myasthenia gravis (MG) is an autoimmune disease with acquired neuromuscular junction transmission disorders. In the last two decades, various pathogenesis, application of immunosuppressive agents, and targeted immunotherapy have been significant events. However, extracting the most critical information from complex events is very difficult to guide clinical work. Therefore, we used bibliometrics to summarize and look forward. Science Citation Index Expanded (SCI-E) from the Web of Science Core Collection (WoSCC) database was identified as a source of material for obtaining MG-related articles. Scimago Graphica, CiteSpace, VOSviewer, and bibliometrix were utilized for bibliometric analysis. Knowledge network graphs were constructed and visualized; countries, institutions, authors, journals, references, and keywords were evaluated. In addition, GraphPad Prism and Microsoft Excel 365 were applied for statistical analysis. As of October 25, 2022, 9,970 original MG-related articles were used for the bibliometric analysis; the cumulative number of citations to these articles was 236,987, with an H-index of 201. The United States ranked first in terms of the number of publications (2,877) and H-index (134). Oxford has the highest H-index (67), and Udice French Research University has the highest number of publications (319). The author with the highest average number of citations (66.19), publications (151), and H-index (53) was Vincent A. 28 articles have remained in an explosive period of citations. The final screening yielded predictive keywords related to clinical trials and COVID-19. We conducted a bibliometric analysis of 9,970 original MG-related articles published between 1966 and 2022. Ultimately, we found that future MG research hotspots include two major parts: (1) studies directly related to MG disease itself: clinical trials of various targeted biological agents; the relationship between biomarkers and therapeutic decisions, pathogenesis and outcome events, ultimately serving individualized management or precision therapy; (2) studies related to MG and COVID-19: different variants of COVID-19 (e.g., Omicron) on MG adverse outcome events; assessment of the safety of different COVID-19 vaccines for different subtypes of MG.

如何引用

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