Visual bibliometric study on symptom clusters in patients with head and neck tumors
10.3760/cma.j.cn115682-20240123-00445
- VernacularTitle:头颈部肿瘤患者症状群可视化文献计量学研究
- Author:
Yu ZHANG
1
;
Lixia KUANG
;
Xiaoqin BI
Author Information
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
- Keywords:
Head and neck neoplasms;
Bibliometrics;
Symptom management;
Oncology nursing
- From:
Chinese Journal of Modern Nursing
2024;30(31):4247-4254
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the current status, development trends, and gaps in studies on symptom clusters in patients with head and neck tumors using bibliometric methods.Methods:Relevant 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.Results:A 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.Conclusions:Future 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.
