Sentinel and networked symptoms in patients with breast cancer undergoing chemotherapy

医学 乳腺癌 化疗 肿瘤科 癌症 内科学 普通外科
作者
Minyu Liang,Tong Zhong,M. Tish Knobf,Lisi Chen,Min Xu,Beibei Cheng,Yichao Pan,Jian Zhou,Zengjie Ye
出处
期刊:European Journal of Oncology Nursing [Elsevier BV]
卷期号:70: 102566-102566 被引量:32
标识
DOI:10.1016/j.ejon.2024.102566
摘要

Abstract

Purpose

It was designed to identify the symptom clusters and sentinel symptoms among patients with breast cancer receiving chemotherapy at the community level, and to explore core and bridge symptoms at the global level.

Methods

A cross-sectional survey was conducted using the MD Anderson Symptom Inventory. Patients with breast cancer receiving chemotherapy, recruited from the "Be Resilient to Breast Cancer" project between January 2023 and December 2023, were included in the study. Symptom clusters and their sentinel symptoms were identified using exploratory factor analysis and Apriori algorithm. Core and bridge symptoms were identified using network analysis.

Results

A total of 468 patients with breast cancer participated in the current study. At the community level, three symptom clusters and their corresponding sentinel symptoms were identified: a gastrointestinal symptom cluster (with nausea as the sentinel symptom), a psycho-sleep-related symptom cluster (with distress as the sentinel symptom), and a neurocognition symptom cluster (with dry mouth as the sentinel symptom). At the global level, fatigue emerged as the core symptom, while disturbed sleep and lack of appetite as bridge symptoms.

Conclusion

Addressing nausea, distress, and dry mouth are imperative for alleviating specific symptom clusters at the community level. Furthermore, targeting fatigue, disturbed sleep, and lack of appetite are crucial to break the interactions among diverse symptoms at the global level.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
moshang发布了新的文献求助10
刚刚
ACaca完成签到,获得积分10
刚刚
aa发布了新的文献求助10
刚刚
刚刚
龍龖龘发布了新的文献求助10
刚刚
雯雯发布了新的文献求助10
1秒前
个性小海豚完成签到,获得积分10
1秒前
英姑应助水123采纳,获得10
2秒前
2秒前
HHHH发布了新的文献求助10
2秒前
沉默的海冬完成签到,获得积分10
3秒前
3秒前
笑点低机器猫完成签到,获得积分10
3秒前
细心冬日发布了新的文献求助10
4秒前
5秒前
Ava应助龍龖龘采纳,获得10
6秒前
zzyy完成签到,获得积分10
6秒前
6秒前
7秒前
搜集达人应助活泼的鼠标采纳,获得10
7秒前
科研通AI6.2应助户学静采纳,获得10
7秒前
香蕉觅云应助macchazuki采纳,获得10
7秒前
小白Jerry发布了新的文献求助10
8秒前
Ava应助paddi采纳,获得10
8秒前
9秒前
9秒前
10秒前
Ciel发布了新的文献求助10
10秒前
猪皮恶人发布了新的文献求助10
11秒前
友好的冰巧完成签到,获得积分10
12秒前
13秒前
传奇3应助Khan采纳,获得10
13秒前
13秒前
DLDL完成签到,获得积分10
14秒前
小叶子完成签到,获得积分20
14秒前
南风发布了新的文献求助40
15秒前
水123发布了新的文献求助10
15秒前
我是老大应助可靠白安采纳,获得10
15秒前
科研通AI6.4应助Dean采纳,获得80
15秒前
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7251549
求助须知:如何正确求助?哪些是违规求助? 8874035
关于积分的说明 18730628
捐赠科研通 6931418
什么是DOI,文献DOI怎么找? 3199473
关于科研通互助平台的介绍 2374329
邀请新用户注册赠送积分活动 2174053