摘要
目的:通过分析学术团队研究方向及关键词聚类结果,总结中医药治疗肝癌的研究热点,为肝癌临床治疗方案的制定及科学研究提供思路。方法:检索中国生物医学文献服务系统(SinoMed)、中国知网(CNKI)、万方数据知识服务平台、PubMed等数据库,纳入2006—2021年发表的中医药治疗肝癌相关临床研究及名家经验类文献。利用透视表提取作者信息,结合发文量(≥6篇)、被引频次(≥11次)及H指数,筛选核心作者;通过分析作者背景信息,确定主要学术团队及核心研究者。运用文献数据库的可视化功能绘制作者合作网络图谱,通过阅读核心作者的代表性论文,归纳各学术团队的研究方向与学术思想。使用SPSS 20.0分析软件对高频关键词进行聚类分析,呈现树状图聚类结果。结果:共纳入有效文献2279篇。筛选出56位核心作者(发文量≥6篇,且被引频次≥11次),归纳出18个学术团队,其中10个团队满足“总发文量≥10篇且核心研究者H指数≥5”的条件。高频关键词聚类分析得到4组聚类组合。结论:中医药治疗肝癌领域已形成明显的学术团队,其代表性研究方向及学术思想可为相关研究提供借鉴。研究热点集中于:中医药联合经导管动脉化疗栓塞术、放射治疗、射频消融等治疗中晚期原发性肝癌、转移性肝癌及并发腹水患者的疗效;中医药对肝癌介入治疗及术后栓塞综合征患者的疗效;纯中医治疗原发性肝癌的疗效;名老中医经验总结。
Objective:To provide the ideas for the establishment of clinical therapeutic plan and scientific research by analyzing research direction of academic team and keyword clustering results,and summarizing the research hot spots of TCM therapy for liver cancer.Methods:The literature on clinical studies and famous doctors'experience of treating liver cancer with TCM from 2006 to 2021 was included by searching SinoMed,CNKI,Wanfang and PubMed.The authors'information was obtained using perspective,combined with the number of the published papers(greater than six articles),citation frequency(≥11 times)and H index for the screening of the core authors;the main academic team and core researchers were confirmed by analyzing the authors'background information.The map of the authors'collaboration was drawn using visualization of the bibliographic data,academic teams'research direction and academic thought were summed up by consulting core authors'representative papers.Objective:To provide the ideas for the establishment of clinical therapeutic plan and scientific research by analyzing research direction of academic team and keyword clustering results,and summarizing the research hot spots of TCM therapy for liver cancer.Methods:The literature on clinical studies and famous doctors'experience of treating liver cancer with TCM from 2006 to 2021 was included by searching SinoMed,CNKI,Wanfang and PubMed.The authors'information was obtained using perspective,combined with the number of the published papers(greater than six articles),citation frequency(≥11 times)and H index for the screening of the core authors;the main academic team and core researchers were confirmed by analyzing the authors'background information.The map of the authors'collaboration was drawn using visualization of the bibliographic data,academic teams'research direction and academic thought were summed up by consulting core authors'representative papers.SPSS 20.0 was applied to conduct cluster analysis of high-frequency keywords,and the cluster results presented in the form of tree diagram.Results:The study has included 2279 valid papers,involving 56 core authors(the published papers≥six,and the citation frequency≥11 times),and 18 academic teams,among them,ten teams met the conditions of"total number of articles published≥10 and H-index of the core researchers≥5".Four clusters were obtained from cluster analysis of high-frequency keywords.Conclusion:Academic teams have formed in the field of TCM therapy for liver cancer,and their representative research direction and academic thought could provide the reference for the relevant studies.The research hot spots focus on clinical effects of TCM combined with catheter-directed arterial embolization,radiotherapy,radiofrequency ablation in the treatment of mid to latestage primary liver cancer,metastatic hepatic carcinoma and the patients with ascites;therapeutic effects of TCM therapy for the patients after interventional therapy of liver cancer and post-embolism syndrome;clinical effects of TCM treatment for primary liver cancer,and famous veteran doctors'experience.
作者
秦三利
齐江华
张仲男
石昕
林静
QIN Sani;QI Jianghua;ZHANG Zhongnan;SHI Xin;LIN Jing(Gansu Provincial Academy of Medical Science,Lanzhou 730050,China;Gansu Provincial Cancer Hospital,Lanzhou 730050,China)
出处
《西部中医药》
2025年第7期72-78,共7页
Western Journal of Traditional Chinese Medicine
基金
甘肃省中医药管理局科研项目(GZK-2017-45)
中国医院协会医院情报图书专业委员会科研项目。
关键词
肝癌
原发性
中医药
研究团队
聚类分析
研究热点
liver cancer,primary
TCM
academic team
cluster analysis
research hotspots
