补充和替代医学在癌症患者中的应用研究的协作网络和主题趋势:文献计量分析。

Collaborative networks and thematic trends of research on the application of complementary and alternative medicine in cancer patients: A bibliometric analysis.

机构信息

Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China.

College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, PR China.

出版信息

Complement Ther Clin Pract. 2019 Nov;37:58-67. doi: 10.1016/j.ctcp.2019.08.008. Epub 2019 Aug 29.

Abstract

BACKGROUND

and purpose: Complementary and Alternative Medicine(CAM) has been greatly used in cancer patients. This research aimed to explore the research priorities of CAM for cancer patient's treatment.

METHODS

Web of Science(WoS), HistCite, BibExcel, GunnMap and VOSviewer were used to extract and visualize information.

RESULTS

2768 articles published in 789 journals were indexed in the WoS from 1989 to 2018. The USA(n = 1009) and Technion-Israel Institute Technology(n = 58) were the most prolific country and institution, respectively. Keywords co-occurrence analysis indicated that the research hotspots around the world formed five clusters, so did the author co-citation analysis. The research priorities of the top-five countries, the top-three prolific authors and the co-citation core authors were also discussed, which reveals the differences and similarities among them.

CONCLUSION

This study delineates a framework for better understanding the situational use of CAM in cancer patients, which could help health care workers to prioritize and organize future research.

摘要

背景和目的

补充和替代医学(CAM)在癌症患者中得到了广泛应用。本研究旨在探索 CAM 用于癌症患者治疗的研究重点。

方法

使用 Web of Science(WoS)、HistCite、BibExcel、GunnMap 和 VOSviewer 提取和可视化信息。

结果

从 1989 年到 2018 年,WoS 共收录了 789 种期刊发表的 2768 篇文章。美国(n=1009)和以色列理工学院(n=58)是发文量最多的国家和机构。关键词共现分析表明,全球的研究热点形成了五个聚类,作者共被引分析也是如此。还讨论了排名前五的国家、排名前三的高产作者和共被引核心作者的研究重点,揭示了它们之间的差异和相似之处。

结论

本研究描绘了一个更好地理解 CAM 在癌症患者中的应用情况的框架,这有助于医疗保健工作者确定和组织未来的研究重点。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索