基于CiteSpace 和VOSviewer 的中医药治疗乳腺癌可视化研究
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R273

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中国博士后科学基金项目(2021MD703842);国家中医药管理局中医药国际合作专项(0610-2140NF020629);辽宁省自然科学基金 项目(2019-MS-351);辽宁省科学事业公益研究基金项目(GY-2018-0034)


Visualization Research of Traditional Chinese Medicine Treatment of Breast Cancer Based on CiteSpace and VOSviewer
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    目的:基于CiteSpace 和VOSviewer 对2013—2022 年中医药治疗乳腺癌的相关文献进行可视化分 析,总结该领域的研究热点及研究趋势。方法:检索中国知网(CNKI) 中中医药治疗乳腺癌的相关文献,应 用CiteSpace 和VOSviewer 对文献来源分布情况、发文作者与研究机构、关键词进行可视化分析。结果:共纳 入1 643 篇文献,2013—2019 年发文量呈阶梯式增长,2020—2022 年发文量略有减少。发文期刊方面,发文 量最多的是《新中医》和《中医临床研究》,累计均发文42 篇。发文作者方面,发文量≥10 篇的作者有10 名, 其中发文量排首位的作者王笑民24 篇。发文机构情况显示,发文量≥15 篇的机构有8 家,发文量最大的机构 是北京中医药大学,为45 篇,主要合作机构是中医药高校及其附属医院,该领域的研究机构分散独立。关键 词共现分析显示,主要高频关键词为乳腺癌、化疗、中药、乳腺肿瘤、生活质量等。关键词聚类分析发现,主 要集中于乳腺癌、中医证型、生活质量、淋巴水肿、乳岩、临床观察、名医经验、临床经验。关键词共现网络 聚类方面,主要涉及乳腺癌、中医药疗法、淋巴水肿、乳腺肿瘤、生活质量、不良反应、中西医结合、中医辨 证分型、临床疗效、免疫功能。关键词突现分析,第一阶段为2013—2015 年,突现词为中医治疗、术后、骨 髓抑制、疗效观察、临床效果、综述;第二阶段为2015—2017 年,突现词为相关性、肿瘤转移、辨证分型、 心脏毒性;第三阶段为2017—2019 年,突现词为穴位按摩、术后化疗、穴位贴敷、恶心呕吐、治疗、护理、 焦虑;第四阶段为2019—2022 年,突现词为艾灸、阳和汤、恶性肿瘤、聚类分析、二仙汤、数据挖掘、睡眠 质量、抗肿瘤。结论:2013—2022 年,中医药治疗乳腺癌的相关研究内容较为丰富。研究者及研究机构间有 必要进一步合作,注重循证医学及基础医学研究证据,加强多中心的密切合作。

    Abstract:

    Abstract: Objective: To make a visual analysis of the literature related to the treatment of breast cancer with traditional Chinese medicine (TCM) from 2013 to 2022 and summarize the research hotspots and trends in this field based on CiteSpace and VOSviewer. Methods: The relevant literature on TCM treatment of breast cancer in China National Knowledge Infrastructure Database (CNKI) was retrieved,and CiteSpace and VOSviewer were used to carry out a visual analysis of the annual publication of literature,the distribution of literature sources,the authors and research institutions,and keywords. Results:A total of 1 643 papers were included, and the number of published papers showed a step increase from 2013 to 2019, and a slight decrease from 2020 to 2022. In terms of publishing journals,“Journal of New Chinese Medicine” and “Clinical Journal of Chinese Medicine” had the largest number of publications, with a total of 42 articles published. In terms of authors,there were 10 authors with publication numbers greater than or equal to 10,among which WANG Xiaomin,the author with the highest publication number,had published 24 articles. As for the situation of publishing institutions, there were 8 institutions with publication numbers greater than or equal to 15,and Beijing University of Chinese Medicine had published 45 articles, which was the highest; the main cooperative institutions were distributed between TCM universities and affiliated hospitals,and research institutions in this field were separate and independent. The co- occurrence analysis showed that the main high- frequency keywords were breast cancer, chemotherapy,Chinese medicines,breast tumors,quality of life,etc. According to the cluster analysis, keywords mainly focused on breast cancer, TCM syndrome types, quality of life, lymphedema, rocky mass in the breast, clinical observation, famous doctors' experience, and clinical experience. Keyword co- occurrence networks mainly involved breast cancer, TCM therapy, lymphedema, breast tumors, quality of life, adverse reactions, integrated traditional Chinese and western medicine, TCM syndrome differentiation, clinical effects, and immune function. According to the analysis of keyword bursts, the first stage was from 2013 to 2015,and the keywords with bursts included TCM treatment,postoperative, bone marrow suppression,effect observation,clinical effects,and review;the second stage was from 2015 to 2017, and the keywords with bursts included correlation, tumor metastasis, syndrome differentiation and classification, and cardiac toxicity; the third stage was from 2017 to 2019, and the keywords with bursts included point massage, postoperative chemotherapy, point application, nausea and vomiting, treatment, nursing, and anxiety; the fourth stage was from 2019 to 2022, and the keywords with bursts included moxibustion, Yanghe Decoction, malignant tumors, cluster analysis, Erxian Decoction, data mining, sleep quality, and anti- tumor. Conclusion: From 2013 to 2022, there was rich research content related to the TCM treatment of breast cancer. It is necessary for researchers and research institutions to further cooperate, pay attention to syndrome- based medicine and basic medical research evidence,and strengthen the close cooperation among multiple centers.

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李秋华,史国峰,任路.基于CiteSpace 和VOSviewer 的中医药治疗乳腺癌可视化研究[J].新中医,2023,55(22):116-123

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  • 在线发布日期: 2023-11-28
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