基于WoSCC数据库分析国际卒中后疲劳的研究热点和发展趋势

王洁; 钱雪; 郭川; 王庆雷; 沈俊帆; 杨玲; 张艳

doi:10.7619/jcmp.20246218

基于WoSCC数据库分析国际卒中后疲劳的研究热点和发展趋势

Research hotspots and development trends in international post-stroke fatigue based on WoSCC database

摘要

摘要:
目的分析2004—2024年全球卒中后疲劳(PSF)的发文概况与发展趋势。
方法通过检索WoSCC数据库系统搜集和筛选2004年1月1日—2024年8月1日关于PSF的文献。利用CiteSpace软件对PSF研究发文量、国家、机构、作者、关键词等进行可视化分析。
结果本研究共纳入文献373篇。PSF相关发文量整体呈上升趋势，发文量最多的国家、机构、作者分别是英国、奥斯陆大学、LERDAL A。高频关键词包括quality of life、depression、fatigue severity scale、follow up、epidemiology、symptoms、associations、rehabilitation, 突现词为health care professionals、risk factors、participation。
结论 PSF相关研究整体呈上升趋势，其评估测量方案、康复治疗方法、对生活质量的影响、与抑郁的内在关系已成为研究热点。深入探讨精准系统的评估方法，并构建科学的康复管理方案和风险预测模型，将成为未来研究重点。

Abstract:
Objective To analyze the publication condition and development trends of global post-stroke fatigue (PSF) research from 2004 to 2024.
Methods Relevant literature on PSF published between January 1, 2004, and August 1, 2024, were systematically searched and screened from WoSCC database. Visual analysis of publication volume, contributing countries, institutions, authors, and keywords in PSF research was conducted using CiteSpace software.
Results A total of 373 articles were included in this study. The overall publication volume related to PSF exhibited an upward trend. The country, institution, and author with the highest number of publications were the United Kingdom, the University of Oslo, and LERDAL A, respectively. High-frequency keywords included quality of life, depression, fatigue severity scale, follow up, epidemiology, symptoms, associations, and rehabilitation, while the emerging keywords were health care professionals, risk factors, and participation.
Conclusion PSF-related research has demonstrated an overall upward trend. Assessment and measurement protocols, rehabilitation treatment approaches, impacts on quality of life, and the intrinsic relationship with depression have emerged as research hotspots. Further exploration of precise and systematic assessment methods, along with the construction of scientific rehabilitation management programs and risk prediction models, will become the focal points of future research.

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