The core symptom in gastric cancer patients undergoing chemotherapy: a network analysis

Author:

Wang Xiao-Qing1,Zou Yan-Ling2,Li Yi2,Li Xun2,Zhang Zi-Yan2,Yang Li-Hua1,Gao Juan1,Guan Hui Yun1,Duan Pei-Bei1

Affiliation:

1. Jiangsu Provincial Hospital of Traditional Chinese Medicine

2. Nanjing University of Chinese Medicine

Abstract

Abstract Background ​During chemotherapy for gastric cancer, patients may experience symptoms associated with both the disease and chemotherapy. There have been limited studies exploring the relationship between these symptoms. Network analysis can identify the core symptoms in the symptom network. Objective The purpose of this research was to investigate the core symptoms and contributing factors in gastric cancer patients undergoing chemotherapy. Methods A cross-sectional study of convenient samples of patients with gastric cancer undergoing chemotherapy was conducted. A total of 616 gastric cancer patients undergoing chemotherapy were enrolled between January 2021 and November 2022.​ The symptom network and node characteristics were analyzed using network analysis, and the factors affecting the symptom network were investigated using multivariate linear regression analysis. Results The findings indicated that 89% of gastric cancer patients undergoing chemotherapy experienced lack of appetite. Taste alteration was the most prominent symptom in the network analysis, with the strongest correlation between taste alteration and lack of appetite in patients. Multiple linear regression analysis showed that gender, history of tobacco use and chemotherapy cycles were the factors affecting taste alteration. Conclusion Taste alteration was the core symptom in gastric cancer patients undergoing chemotherapy. Interventions are likely to be most effective if symptom management focuses on taste alteration. Additionally, lack of appetite should be treated together in a clinical setting to ensure accurate symptom management.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3