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肿瘤患者疼痛-疲乏-睡眠障碍症状群的研究现状及热点可视化分析 被引量:6

Research status and visualization analysis of pain-fatigue-sleep disturbance symptom clusters in tumour patients
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摘要 目的系统分析肿瘤患者发生频率最高、最稳定的症状群“疼痛-疲乏-睡眠障碍症状群”(PFS)的研究现状、热点和趋势,为我国后续该领域的深入研究提供参考。方法在Web of Science数据库核心合集检索出2001—2021年国际上疼痛-疲乏-睡眠障碍症状群研究相关文献,应用CiteSpace软件对其进行分析及可视化展示。结果最终纳入文献379篇,包含113位发文作者,发文量从2001年开始整体呈上升趋势。美国发文量排名第一,且与其他国家相互合作较为亲密。我国虽然发文量排名第2位,但中心性却比较低。国际上症状群研究热点人群主要集中在成人癌症化疗患者,研究重点主要集中在症状群识别方法、症状群相关症状、症状群相关机制研究、干预措施等方面。结论本研究为我国研究者识别潜在的合作者和合作机构、核心期刊、热点话题和研究前沿提供了有价值的信息,我国在该领域的研究可重点深挖影响因素研究、借助移动医疗平台采取多学科合作干预、立足我国中医特色疗法背景,构建我国特色的干预护理的循证实践方案。 Objective To systematically analysed the research status,hotspots and trends of"pain-fatigue-sleep disorder symptom clusters",the most frequent and stable symptom group in tumour patients,and to provide reference for further research in this field in China.Methods International literatures related to pain-fatigue-sleep disturbance symptom clusters from 2001 to 2021 were retrieved from the core collection of Web of Science database and analysed and visualised with CiteSpace software.Results A total of 379 articles,including the works of 113 authors,were included,and the number of articles showed an overall upward trend since 2001.The United States ranked first in terms of the number of publications and cooperated closely with other countries.Although China ranked second,its centrality was relatively low.Around the world,symptom cluster research mainly centred on adult cancer chemotherapy patients,and the research focus was mainly the symptom cluster recognition methods,symptom cluster-related symptoms,symptom cluster-related mechanism research,and intervention measures.Conclusion This study provides valuable information for researchers to identify potential collaborators and institutions,core journals,hot topics and research frontiers.Research in this field in China can concentrate on in-depth research of influencing factors,adopt multidisciplinary intervention with the help of mobile medical platform and build evidence-based practice programs of intervention care with Chinese characteristics based on the background of Chinese traditional medicine therapy.
作者 杨丽萍 段培蓓 杨玲 夏超 韩斯璇 费超男 YANG Li-ping;DUAN Pei-bei;YANG Ling;XIA Chao;HAN Si-xuan;FEI Chao-nan(Nursing Department,Affiliated Hospital of Nanjing University of Chinese Medicine,Nanjing,Jiangsu 210000,China;不详)
出处 《中华全科医学》 2023年第1期139-143,共5页 Chinese Journal of General Practice
基金 江苏省中医药科技发展计划项目重点项目(ZD202005) 江苏省中医院院级课题(Y21039)。
关键词 肿瘤 疼痛 疲乏 睡眠障碍 症状群 可视化分析 Tumor Pain Fatigue Sleep disturbance Symptom clusters Visualization analysis
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