Evidence map›Paper›PMID 41710331›Full record

ArticlePatient preference and adherence2026

Identifying Core Symptoms in Breast Cancer Patients with Different Chemotherapy Phases Using Network Analysis: A Prospective Multicenter Longitudinal Study.

Jiali He, Dingxi Bai, Huan Chen, Xinyu Chen, Xianying Lu, Wenting Ji, Ran Xu, Chaoming Hou, Jing Gao

Abstract read
In one paragraph

Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

The trial behind it

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Jiali He *School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Dingxi Bai *School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Huan Chen *School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Xinyu ChenSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Xianying LuSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Wenting JiSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Ran XuSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Chaoming HouSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.
Jing GaoSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, People's Republic of China.ORCID 0000-0003-2697-8309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Network analysis can identify the core symptoms reported by patients at each time point, providing a basis to develop precise symptom strategies for treatment. However, few studies have established symptom networks for breast cancer patients at various treatment stages. Objective: The purpose of this study was to identify core symptoms that may be targeted for intervention in different chemotherapy phases for breast cancer patients. Methods: A multicenter prospective longitudinal survey design was employed in this study. 467 breast cancer patients were recruited in the Breast Surgery Ward from November 2022 and October 2023. The Symptoms Assessment Scale for Breast Cancer Patients Receiving Chemotherapy was used to assess breast cancer patients' symptoms before chemotherapy (T0), after the first chemotherapy (T1), after three chemotherapy treatments (T2), and after the sixth chemotherapy treatment (T3). Symptom networks and node properties were explored using network analysis. Results: At T0, difficulty sleeping was a symptom with the highest strength ( Conclusion: The core symptoms that need to be targeted for intervention in various chemotherapy stages of breast cancer patients differ. Difficulty sleeping and depression should be addressed at T0; decreased appetite and pain were the core symptoms at T1; and fatigue was the most central symptom at T2 and T3 and should be controlled as a priority.

Indexed as

breast cancerchemotherapycore symptomssymptom network

Identifiers

PMID41710331
PMCPMC12911974

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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.