殷江龙, 彭卓嵛, 石林韬, 陈楚琴, 陈月桥, 李桂贤. 基于Citespace中医药治疗胃食管反流病相关研究的可视化分析[J]. 实用临床医药杂志, 2022, 26(22): 65-71. DOI: 10.7619/jcmp.20221681
引用本文: 殷江龙, 彭卓嵛, 石林韬, 陈楚琴, 陈月桥, 李桂贤. 基于Citespace中医药治疗胃食管反流病相关研究的可视化分析[J]. 实用临床医药杂志, 2022, 26(22): 65-71. DOI: 10.7619/jcmp.20221681
YIN Jianglong, PENG Zhuoyu, SHI Lintao, CHEN Chuqin, CHEN Yueqiao, LI Guixian. Visual analysis of related researches in the treatment of gastroesophageal reflux disease with traditional Chinese medicine based on Citespace[J]. Journal of Clinical Medicine in Practice, 2022, 26(22): 65-71. DOI: 10.7619/jcmp.20221681
Citation: YIN Jianglong, PENG Zhuoyu, SHI Lintao, CHEN Chuqin, CHEN Yueqiao, LI Guixian. Visual analysis of related researches in the treatment of gastroesophageal reflux disease with traditional Chinese medicine based on Citespace[J]. Journal of Clinical Medicine in Practice, 2022, 26(22): 65-71. DOI: 10.7619/jcmp.20221681

基于Citespace中医药治疗胃食管反流病相关研究的可视化分析

Visual analysis of related researches in the treatment of gastroesophageal reflux disease with traditional Chinese medicine based on Citespace

  • 摘要:
    目的 采用Citespace可视化分析软件分析中医药治疗胃食管反流病(GERD)研究领域的相关文献, 总结国内该领域学术研究的合作网络、研究热点和研究趋势。
    方法 检索2000年1月1日—2022年4月1日中国知网(CNKI)、万方数据库、维普数据库(VIP)、中国生物医学数据库(CBM)中关于中医药治疗GERD的文献,运用Citespace5.8. R3软件对作者、机构、关键词进行共现分析,对关键词的聚类、突现及时间区域进行分析并绘制知识图谱。
    结果 检索共获取相关文献3 766篇,筛选后共纳入1 957篇,中医药治疗GERD的发文数量总体呈增长趋势。数据分析得出775位发文作者,其中84位作者发文量≥5篇,形成了以朱生梁、谢胜、袁红霞、唐旭东为代表的4个团队; 数据分析得出571所发文机构,其中发文量≥4篇的机构20所,主要包括以南京中医药大学、广西中医药大学第一附属医院、上海中医药大学岳阳中西医结合医院、天津中医药大学为代表的4大研究机构; 共纳入关键词446个,其中45个关键词使用次数≥10次。关键词共现分析发现,文献共包括食管炎、名医经验、辨证论治、综述、奥美拉唑等446个关键词; 对中医药、名医经验、奥美拉唑、中医证型、中药等16个关键词进行聚类分析,并形成聚类标签; 关键词时间线图谱分析发现,“#11食管炎”是研究时间最早且时间最长的关键词,共出现于89篇文献中; 关键词突现分析发现文献中共有25个突现词,“治疗”“辨证分型”“反流性”“疗效观察”“临床观察”是突现时间较早的关键词,“针灸”“数据挖掘”“生活质量”“焦虑”“抑郁”是突现时间较晚的关键词,“中医疗法”“针刺”等为突现强度较大的关键词。
    结论 科学知识图谱可视化分析展示了该领域的发展情况、研究热点及趋势,为今后研究提供一定借鉴和参考。

     

    Abstract:
    Objective To analyze the relevant literature on gastroesophageal reflux disease (GERD) treated by traditional Chinese medicine (TCM) using Citespace visual analysis software, and to summarize the cooperation network, research hotspots and research trends of the domestic academic research in this field.
    Methods Relevant literatures from January 1, 2000 to April 1, 2022 in the treatment of GERD by traditional Chinese medicine were retrieved from China National Knowledge Infrastructure (CNKI), Wanfang database, VIP database and Chinese Biology Medicine(CBM). Citespace5.8. R3 software was used to conduct co-occurrence analysis for authors, institutions and keywords, keyword clustering, emergence and time region were analyzed, and knowledge map was drawn.
    Results A total of 3 766 relevant articles were retrieved, and 1 957 articles were included after screening. The number of articles published on TCM treatment of GERD showed an increasing trend. According to the data analysis, 775 authors were found, among whom 84 authors published 5 articles and above, forming four teams, represented by ZHU Shengliang, XIE Sheng, YUAN Hongxia and TANG Xudong. The data analysis found 571 paper publishing institutions, among which 20 institutions published 4 articles and above, forming four major research institutions represented by Nanjing University of Chinese Medicine, the First Affiliated Hospital of Guangxi University of Chinese Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai University of Chinese Medicine and Tianjin University of Chinese Medicine. A total of 446 keywords were included, among which 45 keywords were ≥10 times.Key words co-occurrence analysis found that 446 keywords were included, such as esophagitis, famous doctor's experience, dialectical treatment, review, omeprazole, etc. Cluster analysis was carried out on 16 keywords including traditional Chinese medicine, famous doctors'experience, omeprazole, TCM syndrome and traditional Chinese medicine, and cluster labels were formed. The keyword timeline atlas analysis showed that "#11 esophagitis" was the first emerged and the longest-standing keyword, which appeared in 89 literatures. The keyword emergence analysis found 25 emergent words, "treatment" "dialectical classification" "regurgitation" "curative effect observation" and "clinical observation" were the key words that had emerged in earlier period, and "acupuncture" "data mining" "quality of life" "anxiety" and "depression" were the later emerged words. Traditional Chinese medicine therapy and acupuncture were the keywords with greater intensity of emergence.
    Conclusion The visualization analysis of the map of scientific knowledge shows the development, research hotspot and trend of this field, and provides reference for future research.

     

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