中医药治疗乳腺癌术后上肢淋巴水肿的文献计量学分析

作者:张晓巧,郑朝晖,刘晓励,易天仙,尹 琴,黄 敏,汤剑英

单位:湖南中医药大学附属长沙市中医医院,湖南 长沙 410100

引用:引用:张晓巧,郑朝晖,刘晓励,易天仙,尹琴,黄敏,汤剑英.中医药治疗乳腺癌术后上肢淋巴水肿的文献计量学分析[J].中医药导报,2025,31(3):127-132.

DOI:10.13862/j.cn43-1446/r.2025.03.021

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摘要:

目的:系统总结中医药治疗乳腺癌术后上肢淋巴水肿领域的研究现状、发展动态并推测研究趋势。方法:检索中国知网数据库(CNKI)、万方数据库、维普数据库、中国生物医学数据库从建库至20231231日中有关中医药治疗乳腺癌术后上肢淋巴水肿的相关文献,使用CiteSpace 6.2.R6对发文作者、研究机构、关键词进行文献计量学分析。结果:最终纳入97篇文献,年发文量整体呈现上升趋势。研究热点可归纳乳腺癌术后上肢淋巴水肿的治疗方法及临床疗效观察两方面,“推拿”是未来几年的研究趋势。结论:中医药治疗乳腺癌术后上肢淋巴水肿相关内容较丰富,但本领域内研究者及机构间合作较少,仍需进一步加强,对乳腺癌术后上肢淋巴水肿的发病机制、原因深入挖掘,优化治疗及护理方案,从而促进本学科领域快速发展。

关键词:乳腺癌术后;上肢淋巴水肿;中医药;CiteSpace;文献计量学;可视化分析

Abstract:

Objective: To systematically summarize the research status, development trends, and predict future research directions in the field of traditional Chinese medicine (TCM) for the treatment of upper limb lymphedema after breast cancer surgery. Methods: Relevant literature on TCM treatment of upper limb lymphedema after breast cancer surgery was retrieved from databases including CNKI, Wanfang, VIP, and China Biology Medicine (CBM) from their inception to December 31, 2023. CiteSpace 6.2.R6 was used to conduct bibliometric analysis on authors, research institutions, and keywords. Results: A total of 97 articles were included, with an overall upward trend in annual publications. Research hotspots were categorized into two main areas: treatment methods and clinical efficacy observation of upper limb lymphedema after breast cancer surgery. "Massage therapy" was identified as a future research trend. Conclusion: The field of TCM treatment for upper limb lymphedema after breast cancer surgery is rich in content, but there is limited collaboration among researchers and institutions. Further exploration into the pathogenesis and causes of upper limb lymphedema after breast cancer surgery is needed, along with optimization of treatment and nursing protocols to promote rapid development in this discipline.

Key words:post-breast cancer surgery; upper limb lymphedema; traditional Chinese medicine; CiteSpace; bibliometrics; visual analysis

发布时间:2025-12-15

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