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Arm symptom pattern among breast cancer survivors with and without lymphedema: a contemporaneous network analysis.
Shen, Aomei; Zhang, Zhongning; Ye, Jingming; Wang, Yue; Zhao, Hongmeng; Li, Xin; Wu, Peipei; Qiang, Wanmin; Lu, Qian.
Afiliación
  • Shen A; Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Ministry of Education, Tianjin, 300060, People's Republic of Chi
  • Zhang Z; Peking University School of Nursing, Beijing, 100191, People's Republic of China.
  • Ye J; Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Ministry of Education, Tianjin, 300060, People's Republic of Chi
  • Wang Y; Tianjin Medical University School of Nursing, Tianjin, 300070, People's Republic of China.
  • Zhao H; Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, 100034, People's Republic of China.
  • Li X; Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, 100034, People's Republic of China.
  • Wu P; Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Ministry of Education, Tianjin, 300060, People's Republic of Chi
  • Qiang W; Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Ministry of Education, Tianjin, 300060, People's Republic of Chi
  • Lu Q; Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University Ministry of Education, Tianjin, 300060, People's Republic of Chi
Oncologist ; 2024 Aug 24.
Article en En | MEDLINE | ID: mdl-39180465
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Oncologist Asunto de la revista: NEOPLASIAS Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Oncologist Asunto de la revista: NEOPLASIAS Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido