摘要
目的系统分析国内外乳腺癌患者症状群集群研究的现状、研究热点和发展趋势。方法计算机检索PubMed、Embase、Web of Science、中国知网、万方、维普网和中国生物医学文献数据库,筛选建库至2021年10月31日国内外乳腺癌患者症状群集群研究的原始研究。采用Endnote、Excel和VOSviewer对纳入研究的分布特征、发展趋势和研究热点进行文献计量分析;采用内容分析法对症状评估工具、集群方法及常见的症状群进行汇总分析。结果共纳入76篇文献,症状集群结果差异较大。预设法集群研究最常见的症状群由疲乏、睡眠障碍和其他症状组成,非预设法集群研究最常见的是胃肠道症状群。结论乳腺癌患者症状群集群研究数量呈上升趋势,但目前尚处于初步发展阶段,相关研究数量较少、集群方法不统一,且缺乏乳腺癌患者特异性的症状评估工具,未来可研制特异性的症状评估工具,开展纵向研究探索出具有临床应用价值的症状群,以制订更具针对性、更有效的症状改善方案。
Objective To systematically analyze the status quo,research hotspots and development trends of symptom cluster of breast cancer patients at home and abroad.Methods We searched the PubMed,Embase,Web of Science,China National Knowledge Infrastructure,WanFang Data,VIP and China Biomedical Literature Database by computer,and screened the original studies on symptom clusters of breast cancer patients at home and abroad from the establishment of the database to October 31,2021.Endnote,Excel and VOSviewer were used to conduct bibliometric analysis on the distribution characteristics,development trends and research hotspots of the included research.The content analysis method was used to summarize and analyze the symptom evaluation tools,cluster methods and common symptom clusters.Results A total of 76 articles were included,and the results of symptom cluster were quite different.The most common symptom cluster in the cluster study of presupposition method was composed of fatigue,sleep disorder and other symptoms.The most common symptom cluster in the cluster study of non-prediction method was the gastrointestinal symptom cluster.Conclusions The number of symptom cluster studies of breast cancer patients is on the rise,but it is still in the initial stage of development.The number of related studies is small,the cluster method is not uniform,and there is a lack of specific symptom evaluation tools for patients with breast cancer.In the future,we can develop specific symptom evaluation tools and carry out longitudinal research to explore symptom clusters with clinical application value,so as to develop targeted and effective symptom improvement programs.
作者
韦帅芳
王建宁
李峥
Wei Shuaifang;Wang Jianning;Li Zheng(School of Nursing,Chinese Academy of Medical Sciences&Beijing Union Medical College,Beijing 100144,China)
出处
《中华现代护理杂志》
2023年第7期926-930,共5页
Chinese Journal of Modern Nursing
关键词
乳腺肿瘤
文献计量学
症状群
症状管理
评估工具
症状集群
内容分析
Breast neoplasms
Bibliometrics
Syndrome
Symptom management
Assessment instrument
Symptom clusters
Content analysis
