头颈部肿瘤患者症状群可视化文献计量学研究  

Visual bibliometric study on symptom clusters in patients with head and neck tumors

作　　者：张宇 况黎霞 毕小琴[2] Zhang Yu;Kuang Lixia;Bi Xiaoqin(West China School of Nursing,Sichuan University&Department of Head and Neck Oncology,West China Hospital of Stomatology,Sichuan University,Chengdu 610041,China;State Key Laboratory of Oral Diseases,National Center for Stomatology,National Clinical Research Center for Oral Diseases&Department of Head and Neck Oncology,West China Hospital of Stomatology,Sichuan University,Chengdu 610041,China)

机构地区：[1]四川大学华西护理学院/四川大学华西口腔医院头颈肿瘤外科,成都610041 [2]口腔疾病防治全国重点实验室、国家口腔医学中心、国家口腔疾病临床医学研究中心/四川大学华西口腔医院头颈肿瘤外科,成都610041

出　　处：《中华现代护理杂志》2024年第31期4247-4254,共8页Chinese Journal of Modern Nursing

基　　金：四川省科技计划项目(2022JDKP0007);成都市卫健委医学科研课题(2022015)。

摘　　要：目的基于文献计量学方法分析头颈部肿瘤患者症状群的研究现状、发展趋势及不足。方法检索中国知网、万方数据库、中国生物医学文献数据库、Web of Science核心合集数据库、PubMed、Scopus数据库中头颈部肿瘤患者症状群的相关文献,并对文献内容进行可视化分析。结果共纳入37篇文献。研究对象集中于鼻咽癌患者群体;头颈部肿瘤患者症状群存在动态变化性;营养影响相关症状群、症状干预、核心症状识别是该领域的前沿趋势。然而,尚存在研究工具和分析方法单一、缺乏内部机制研究等不足。结论未来应基于多学科合作,完善研究设计,积极利用症状网络分析等技术识别症状管理核心靶点。ObjectiveTo analyze the current status,development trends,and gaps in studies on symptom clusters in patients with head and neck tumors using bibliometric methods.MethodsRelevant literature on symptom clusters in patients with head and neck tumors was retrieved from databases including China National Knowledge Infrastructure,WanFang data,China Biology Medicine disc,Web of Science Core Collection,PubMed,and Scopus.A visual analysis of the literature content was conducted.ResultsA total of 37 studies were included.The studies primarily focused on patients with nasopharyngeal carcinoma.Symptom clusters in patients with head and neck tumors demonstrated dynamic variability.Emerging trends in this field include nutrition-related symptom clusters,symptom interventions,and the identification of core symptoms.However,current studies still exhibit limitations,such as using singular research tools and clustering methods and a lack of exploration of internal mechanisms.ConclusionsFuture research should focus on improving study design through multidisciplinary collaboration,utilizing data mining techniques to systematically explore the internal mechanisms of symptom clusters in patients with head and neck tumors,identifying symptom intervention targets,and conducting high-quality intervention studies to verify the reliability and effectiveness of these targets and interventions.

关 键 词：头颈部肿瘤 文献计量学 症状管理 肿瘤护理 

分 类 号：R473.73[医药卫生—护理学] G353.1[医药卫生—临床医学]