Evidence map›Paper›PMID 40491933›Full record

ArticleAsia-Pacific journal of oncology nursing2025

Upper limb symptoms in breast cancer survivors with lymphedema: A latent class analysis and network analysis.

Aomei Shen, Nada Lukkahatai, Zijuan Zhang, Hongmeng Zhao, Nezar Ahmed Salim, Gyumin Han, Wanmin Qiang, Qian Lu

Abstract read
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Article in Asia-Pacific journal of oncology nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Aomei ShenTianjin 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, China.
Nada LukkahataiJohns Hopkins University School of Nursing, Baltimore, MD, USA.
Zijuan ZhangPeking University School of Nursing, Beijing, China.
Hongmeng ZhaoTianjin 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, China.
Nezar Ahmed SalimJohns Hopkins University School of Nursing, Baltimore, MD, USA.
Gyumin HanCollege of Nursing, Research Institute of Nursing Science, Pusan National University, Yangsan-si, Gyeongsangnam-do, Republic of Korea.
Wanmin QiangTianjin 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, China.
Qian LuPeking University School of Nursing, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Breast cancer survivors (BCS) with lymphedema experience multiple symptoms in upper limbs that significantly impact their quality of life. The complexity of symptomology and the connection among these symptoms are unclear. This study aimed to identify upper limb symptom subgroups and symptom networks among BCS. Methods: This secondary analysis included individuals with lymphedema (defined as an inter-limb circumference difference of ≥ 2 cm) from three cross-sectional studies among post-surgery BCS. Upper limb symptoms were assessed by the Breast Cancer and Lymphedema Symptom Experience Index. Descriptive analysis, latent class analysis, logistic regression analysis, and network analysis were performed. Results: A total of 341 BCS with upper limb lymphedema were included. Swelling, heaviness and tightness were the most prevalent symptoms. Four distinct latent classes were identified: "Severe symptom" group (Class 1: 9.4%), "Movement-limitation and lymph-stasis" group (Class 2: 24.6%), "Lymph-stasis" group (Class 3: 37.5%), and "Mild symptom" group (Class 4: 28.4%). BCS with axillary lymph node dissection, radiotherapy, longer post-surgery duration, and without medical insurance were less likely to belong to the mild symptom group ( Conclusions: This study identified four distinct categories of upper limb symptoms and influencing factors among individuals with breast cancer-related lymphedema (BCRL). Our findings suggest the need to consider individualized approaches to symptom management and support for BCRL, taking into account their specific symptom clusters and associated risk factors.

Indexed as

Breast cancer-related lymphedemaBreast neoplasmsLatent class analysisNetwork analysisSymptoms

Identifiers

PMID40491933
PMCPMC12148638

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.