Research status of phantom limb pain: based on CiteSpace analysis

IF 1.5 Q3 AUTOMATION & CONTROL SYSTEMS IET Cybersystems and Robotics Pub Date : 2022-07-27 DOI:10.1109/CYBER55403.2022.9907723
Hong M. Liu, Zeng-Yong Li, Yu-Bo Fan, Wei Ren, H. Luan
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Abstract

Objective The CiteSpace visual analysis software is used to explore the hotspots and frontiers of researches on phantom limb pain. Methods: Using literature visualization tool CiteSpace, we have analyzed the literature on “phantom limb pain” collected by English WOS database from 2000 to 2020, to summarize the status quo and trend of phantom limb pain research in the past two decades. Results: A total of 1542 international literatures are obtained. Researchers mainly focus on the pathological mechanisms and clinical treatment methods of different types of phantom limb pain. Furthermore, most authors prefer small-scale collaborative research. Most of academic achievements published by universities in Britain, Germany and the United States, and the United States is in a leading position in academic research. In addition, the classical and key literatures in the field of phantom limb pain mainly focus on the central nervous system, peripheral nervous system, cortical reorganization and other pathological mechanisms, as well as drug therapy and a variety of physical therapy. Conclusion: The CiteSpace-based analysis can provide a more objective and scientific understanding of the research status, hotspots and frontiers of phantom limb pain, which is of great significance to its future research.
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幻肢痛的研究现状:基于CiteSpace分析
目的利用CiteSpace可视化分析软件,探讨幻肢痛的研究热点和前沿。方法:利用文献可视化工具CiteSpace,对2000 - 2020年英文WOS数据库收录的“幻肢痛”相关文献进行分析,总结近二十年来幻肢痛研究的现状和趋势。结果:共获得国际文献1542篇。研究者主要关注不同类型幻肢痛的病理机制和临床治疗方法。此外,大多数作者更喜欢小规模的合作研究。大部分学术成果由英国、德国和美国的大学发表,美国在学术研究方面处于领先地位。此外,幻肢痛领域的经典和重点文献主要集中在中枢神经系统、外周神经系统、皮层重组等病理机制,以及药物治疗和各种物理治疗。结论:基于citespace的分析能够更加客观、科学地了解幻肢痛的研究现状、热点和前沿,对今后的研究具有重要意义。
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来源期刊
IET Cybersystems and Robotics
IET Cybersystems and Robotics Computer Science-Information Systems
CiteScore
3.70
自引率
0.00%
发文量
31
审稿时长
34 weeks
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