Network analysis of quality of life in older breast cancer patients: A cross-sectional research from China

Author:

Xiao Min1,Qian Xiaoyan1,Chen Xi1,Ji Lei1,Xiu Meng1,Li Zhuoran1,Cao Heng1,Chen Shanshan1,Li Qing1,Li Qiao1,Wang Xiang1,Wang Jiani1,Li Yiqun1,Xu Binghe1,Zhang Pin1

Affiliation:

1. National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College

Abstract

AbstractObjectiveThe balance between treatment effectiveness and quality of life in elderly breast cancer patients is an important issue for clinicians to consider. The purpose of this study was to investigate the quality of life of elderly breast cancer patients and to explore the most critical factors affecting the quality of life.MethodsThis prospective cross-sectional study was conducted in the Cancer Hospital of the Chinese Academy of Medical Sciences from June 2022 to November 2022. Frailty Screening Scale and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 were assessed among breast cancer patients aged ≥65 years. Network analysis was used to identify the core symptoms in the network.Results481 patients who met inclusion criteria were included in the final analysis. Patients were divided into early (stage I-III) and advanced (stage IV) stage groups based on AJCC Version 8. Patients with advanced disease had a higher incidence of frailty than those with early disease (29.5% vs 11.4%, P<0.001). The quality of life of the former was generally lower than the latter group (P < 0.05 for all three functional areas, seven single symptoms, and economic aspects). Network analysis showed that in both early and advanced stage patients, "fatigue" was the most important symptom in the network and was closely related to patients' social function, role function and physical function. It is also most directly related to global health/quality of life (gQoL).ConclusionThere is a general decline in quality of life in older women with advanced breast cancer. Fatigue is the most prominent problem that affects the quality of life. Related interventions need to be considered when developing clinical care plans for these patients.

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