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2000—2023年当归芍药散研究热点及趋势的可视化分析

Visual analysis of research hotspots and trends of Danggui Shaoyao San from 2000 to 2023

    摘要
  • 摘要:
    目的 探讨2000—2023年当归芍药散相关文献的研究状况及趋势。
    方法 检索中国知网(CNKI)、维普中文科技期刊数据库(VIP)、万方数据库、中国生物医学文献数据库(SinoMed)4个数据库中收录的当归芍药散相关研究文献, 时间设置为2000年1月1日—2023年12月20日。采用文献管理软件NoteExpress合并文献去重，运用CiteSpace6.1.R6软件对文献进行图谱解读分析。
    结果 共纳入文献1 163篇，2000—2023年发文量呈波动增长趋势。此类文献发文量最多的期刊是《中国实验方剂学杂志》(39篇)，发文量最多的作者是许钒(19篇)，发文量最多的机构是河南中医药大学(10篇)、江西中医药大学(10篇)。高频关键词包括“临床应用”“慢性盆腔炎”“中医药疗法”等，聚类分析共生成11个标签。
    结论 当归芍药散的研究热点涵盖临床应用、文献考证及作用机制等方面，通过网络药理学与分子对接技术探索其作用机制和作用靶点是研究趋势。

     

    Abstract:
    Objective To explore the research status and trends of Danggui Shaoyao San-related literature from 2000 to 2023.
    Methods Danggui Shaoyao San-related research literature were searched in four databases: China National Knowledge Internet (CNKI), VIP Chinese Science and Technology Periodical Database (VIP), Wanfang Database, and SinoMed, with the time period set from January 1, 2000 to December 20, 2023. Duplicate literature was removed using the literature management software NoteExpress, and CiteSpace 6.1. R6 was employed to conduct a visual analysis of the literature.
    Results A total of 1, 163 articles were included, and the number of publications showed a fluctuating growth trend from 2000 to 2023. The journal with the highest number of publications was Chinese Journal of Experimental Traditional Medical Formulae (39 articles), the most prolific author was Xu Fan (19 articles), and the institution with the most publications was Henan University of Chinese Medicine (10 articles) and Jiangxi University of Traditional Chinese Medicine (10 articles). High-frequency keywords included "clinical application" "chronic pelvic inflammatory disease" "traditional Chinese medicine therapy" ect., and cluster analysis generated 11 labels.
    Conclusion Research hotspots of Danggui Shaoyao San encompass clinical application, literature textual research, and mechanisms of action, etc. Exploring its mechanisms and targets through network pharmacology and molecular docking technology represents the research trend.

     

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