基于CiteSpace的中医药治疗乳腺癌后伴抑郁的知识图谱分析

Analysis in knowledge graph of traditional Chinese medicine treatment for depression after breast cancer based on CiteSpace

目的分析2000年1月—2022年2月中医药治疗乳腺癌后伴抑郁的研究现状、热点,并绘制可视化的知识图谱。方法在知网、万方等数据库中检索2000年1月—2022年2月中医药治疗乳腺癌后伴抑郁的有关文献。采用CiteSpace 5.8.R1对文献所涉及的作者、机构及关键词开展分析,并绘制知识图谱。结果纳入文献共计325篇,2000—2019年中医药治疗领域发文数量呈上升趋势,而后有所下降;发文数量最多的4所机构为上海中医药大学附属龙华医院、上海交通大学医学院附属精神卫生中心、上海交通大学医学院附属仁济医院、上海市中医药研究院,均为23篇;该领域存在诸多研究团队,但不同地区的团队间欠缺交流合作;发文数量最多的作者是从恩朝、姚嘉良,均为23篇,且来自同一个合作群;高频关键词为乳腺癌、逍遥散、中药治疗、妇科癌症,并形成抑郁障碍、中医证候、中药治疗等多个聚类;医疗大数据下中医药治疗效果的Meta分析以及中医药对内分泌系统生化指标的调节作用的研究增多。结论知识图谱分析显示2000年1月—2022年2月中医药治疗乳腺癌后伴抑郁的研究处于平稳发展阶段,已形成多个研究团队,但跨团队、跨地域的合作较少;该领域的研究逐渐转向中医药治疗效果的大数据分析及中医药对生化指标的调节作用等方面。

Objective To analyze the current situation and hot spots of researches on depression after traditional Chinese medicine treatment for breast cancer from January 2000 to February 2022,and to draw a visualized knowledge graph.Methods Relevant literatures on depression after traditional Chinese medicine treatment of breast cancer from January 2000 to February 2022 in databases such as CNKI and Wanfang were retrieved.CiteSpace 5.8.R1 was used to analyze the authors,institutions and keywords involved in the literatures,and a knowledge graph was drawn.Results A total of 325 literatures were included,and the number of literatures published in the field of traditional Chinese medicine treatment showed an upward trend from 2000 to 2019,and then followed by a decrease trend;the top four institutions with the highest number of published literatures were Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Mental Health Center Affiliated to Medical College of Shanghai Jiaotong University,Renji Hospital Affiliated to Medical College of Shanghai Jiaotong University and Shanghai Institute of Traditional Chinese Medicine,with 23 published literatures for each institution;there were many research teams in this field,but there was a lack of communication and cooperation between teams in different regions;the authors with the highest number of published literatures were Cong Enchao and Yao Jialiang,both of them published 23 literatures,and they also came from the same collaborative group;the high-frequency keywords included breast cancer,Xiaoyao Powder,traditional Chinese medicine treatment and gynecological cancer,and multiple clusters were formed,including depression disorder,syndromes of traditional Chinese medicine,and traditional Chinese medicine treatment;in the context of medical big data,there were increases in meta-analysis of the therapeutic effects of traditional Chinese medicine and literatures on the regulatory effects of traditional Chinese medicine on biochemical indicators such as endocrine hormones.Conclusion Knowledge graph analysis shows that the researches on depression after traditional Chinese medicine treatment for breast cancer is in a stable development stage from January 2000 to February 2022,and multiple research teams have been formed,but there is lack of cross-team and cross-regional cooperation;researches in this field is gradually shifting towards big data analysis of the therapeutic effects of traditional Chinese medicine and the regulatory effect of traditional Chinese medicine on biochemical indicators.