Evidence map›Paper›PMID 35651298›Full record

ArticleCancer medicine2023

Contemporaneous symptom networks of multidimensional symptom experiences in cancer survivors: A network analysis.

Zheng Zhu, Yanling Sun, Yi Kuang, Xiaoyi Yuan, Haiyan Gu, Jing Zhu, Weijie Xing

Registry-linked trialAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06419478 (Exploring Early Postoperative Core Symptoms in Chinese Patients With Primary Liver Cancer), which is not on this map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
–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.

NCT06419478 terminatednot on this map

Exploring Early Postoperative Core Symptoms in Chinese Patients With Primary Liver Cancer: a Cross-sectional and Longitudinal Network Analysis

TypeobservationalSponsorMengmeng YuanRan2021 to 2022Enrolled249ConditionsPatients With Primary Liver Cancer (PLC) Undergoing Curative Surgical Procedures, Importance of Identifying Core Symptoms for Improving Symptom Management in PLC Patients, Application of Network Analysis as a Crucial Component of Cancer CareArmspostoperative symptoms
3 · Its place in the literature

Who cites it

88 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Post-Intensive Care Syndrome in Family: A Concept Analysis.Scandinavian journal of caring sciences · 2025
    Pooled it
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  3. Mechanisms of simplified sitting Badunjin effects on symptom burden: a network-based cross-lagged analysis in advanced cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  4. An exploration of the relationship between perceived injustice and pain severity in breast cancer survivors: a structural equation model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Trial
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  12. "When symptoms interact and change": longitudinal network analysis of dynamic symptom changes in oral cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  13. Patients' symptoms and challenges during the first year after allogeneic haematopoietic cell transplantation-patients' own expressions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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28 more citing papers are in PubMed but not listed here.

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

7 authors.

Zheng ZhuSchool of Nursing, Fudan University, Shanghai, China.ORCID 0000-0001-9651-8311
Yanling SunSchool of Public Health, Fudan University, Shanghai, China.
Yi KuangSchool of Nursing, Fudan University, Shanghai, China.
Xiaoyi YuanSchool of Nursing, Fudan University, Shanghai, China.
Haiyan GuDepartment of Chronic Disease Prevention and Control, Xuhui District Center for Disease Control and Prevention, Shanghai, China.
Jing ZhuDepartment of Chronic Disease Prevention and Control, Xuhui District Center for Disease Control and Prevention, Shanghai, China.
Weijie XingSchool of Nursing, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSymptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have explored the symptom networks of multidimensional symptom experiences in cancer survivors. The objectives of this study were to generate symptom networks of multidimensional symptom experiences in cancer survivors and explore the centrality indices and density in these symptom networks

methodsData from 1065 cancer survivors were obtained from the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory was used to assess the prevalence and severity of 13 cancer-related symptoms. We constructed contemporaneous networks with all 13 symptoms after controlling for covariates.

resultsDistress (r

conclusionOur study demonstrates the need for the assessment of centrality indices and network density as an essential component of cancer care, especially for survivors with <5 years of survivorship. Future studies are warranted to develop dynamic symptom networks and trajectories of centrality indices in longitudinal data to explore causality among symptoms and markers of interventions.

Indexed as

Cancer SurvivorsNeoplasmsChinaFatigueHumansSurvivorsSurvivorshipcancernetwork analysissurvivorshipsymptom network

Identifiers

PMID35651298
PMCPMC9844664

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Registered trials

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.