Arm symptom pattern among breast cancer survivors with and without lymphedema: a contemporaneous network analysis

被引:0
|
作者
Shen, Aomei [1 ,2 ]
Zhang, Zhongning [1 ,3 ]
Ye, Jingming [4 ]
Wang, Yue [4 ]
Zhao, Hongmeng
Li, Xin [1 ]
Wu, Peipei [1 ]
Qiang, Wanmin [1 ]
Lu, Qian [2 ]
机构
[1] Tianjin Med Univ, Tianjins Clin Res Ctr Canc, Key Lab Breast Canc Prevent & Therapy, Minist Educ,Tianjin Med Univ Canc Inst & Hosp,Natl, Tianjin 300060, Peoples R China
[2] Peking Univ, Sch Nursing, Beijing 100191, Peoples R China
[3] Tianjin Med Univ, Sch Nursing, Tianjin 300070, Peoples R China
[4] Peking Univ First Hosp, Dept Thyroid & Breast Surg, Beijing 100034, Peoples R China
来源
ONCOLOGIST | 2024年 / 29卷 / 12期
基金
中国国家自然科学基金;
关键词
breast neoplasm; arm symptom; lymphedema; symptom network; network analysis; RISK;
D O I
10.1093/oncolo/oyae217
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Arm symptoms commonly endure in post-breast cancer period and persist into long-term survivorship. However, a knowledge gap existed regarding the interactions among these symptoms. This study aimed to construct symptom networks and visualize the interrelationships among arm symptoms in breast cancer survivors (BCS) both with and without lymphedema (LE). Patients and Methods We conducted a secondary analysis of 3 cross-sectional studies. All participants underwent arm circumference measurements and symptom assessment. We analyzed 17 symptoms with a prevalence >15%, identifying clusters and covariates through exploratory factor and linear regression analysis. Contemporaneous networks were constructed with centrality indices calculated. Network comparison tests were performed. Results 1116 cases without missing data were analyzed, revealing a 29.84% prevalence of LE. Axillary lymph node dissection [ALND] (vs sentinel lymph node biopsy [SLNB]), longer post-surgery duration, and radiotherapy significantly impacted overall symptom severity (P < .001). "Lymphatic Stasis," "Nerve Injury," and "Movement Limitation" symptom clusters were identified. Core symptoms varied: tightness for total sample network, firmness for non-LE network, and tightness for LE network. LE survivors reported more prevalent and severe arm symptoms with stronger network connections than non-LE group (P = .010). No significant differences were observed among different subgroups of covariates (P > .05). Network structures were significantly different between ALND and SLNB groups. Conclusion Our study revealed arm symptoms pattern and interrelationships in BCS. Targeting core symptoms in assessment and intervention might be efficient for arm symptoms management. Future research is warranted to construct dynamic symptom networks in longitudinal data and investigate causal relationships among symptoms.
引用
收藏
页码:e1656 / e1668
页数:13
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