Evidence map›Paper›PMID 38958801›Full record

ArticleAnnals of surgical oncology2024

Contemporaneous Symptom Networks of Breast Cancer-Related Upper Limb Lymphedema: A Network Analysis.

Aomei Shen, Wanmin Qiang, Hongmeng Zhao, Gyumin Han, Peipei Wu, Zijuan Zhang, Qian Hu, Qian Lu

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In one paragraph

Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Aomei ShenNational Clinical Research Center for Cancer, Tianjin Medical University Ministry of Education, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Wanmin QiangNational Clinical Research Center for Cancer, Tianjin Medical University Ministry of Education, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Hongmeng ZhaoNational Clinical Research Center for Cancer, Tianjin Medical University Ministry of Education, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Gyumin HanCollege of Nursing, Research Institute of Nursing Science, Pusan National University, Yangsan-si, Gyeongsangnam-do, Republic of Korea.
Peipei WuNational Clinical Research Center for Cancer, Tianjin Medical University Ministry of Education, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Zijuan ZhangDivision of Medical and Surgical Nursing, Peking University School of Nursing, Beijing, China.
Qian HuDivision of Medical and Surgical Nursing, Peking University School of Nursing, Beijing, China.
Qian LuDivision of Medical and Surgical Nursing, Peking University School of Nursing, Beijing, China. luqian@bjmu.edu.cn.ORCID http://orcid.org/0000-0003-2611-3284

Funding

National Natural Science Foundation of China 72174011Nursing Innovation Talent Fund of Tianjin Medical University Cancer Institute and Hospital HL2021-27Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK 011A
6 · The paper itself

Abstract

backgroundUpper limb lymphedema (ULL) is a common and deliberating complication for breast cancer survivors (BCSs). Breast cancer survivors with ULL reported a wide range of symptoms. However, little is known about symptom patterns and interrelationships among them. This study was designed to explore symptom clusters and construct symptom networks of ULL-related symptoms among BCSs and to identify the core symptoms.

methodsThis study is a secondary data analysis using datasets from three cross-sectional studies of BCSs in China. A total of 341 participants with maximum interlimb circumference ≥2 cm and complete responses in Part I of the Breast Cancer and Lymphedema Symptom Experience Index were included. Symptom clusters were identified through principal component analysis, and multiple linear regression analysis was employed to explore factors associated with severity of overall ULL-related symptoms. A contemporaneous network with 20 frequently reported symptoms were constructed after controlling for covariates.

resultsThree symptom clusters, including lymph stasis symptom cluster, nerve symptom cluster, and movement limitation symptom cluster, were identified. Postsurgery time, axillary lymph node dissection, and radiotherapy were associated with the severity of ULL-related symptoms. Tightness (r

conclusionsBreast cancer survivors with ULL experienced severe symptom burden. Tightness, tingling, and firmness were core symptoms of ULL among BCSs. Our findings demonstrated that the assessment and targeted intervention of specific core symptoms might help to relive effectively the burden of ULL-related symptom among BCSs.

Indexed as

Breast Cancer LymphedemaBreast NeoplasmsUpper ExtremityAdultAgedCancer SurvivorsChinaCross-Sectional StudiesFemaleFollow-Up StudiesHumansLymphedemaLymph Node ExcisionMastectomyMiddle AgedPrognosisBreast neoplasmLymphedemaNetwork analysisSymptom

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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.