Evidence map›Paper›PMID 40638626›Full record

ArticlePloS one2025

Contemporaneous symptom networks for multidimensional symptom experience in lung cancer survivors of immunotherapy: A network analysis.

Hang Gao, Xiaoxue Wen, Xiaoli Sun, Yuwei Liu, Jianwen Hou, Danwen Zheng, Hejia Chen, Lingfang Ma, Yufang Zhou, Xinyan Yu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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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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

10 authors.

Hang GaoPhase I Clinical Ward, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Xiaoxue WenDepartment of Colorectal Medicine, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Xiaoli SunPhase I Clinical Ward, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Yuwei LiuDepartment of Thoracic Medicine, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Jianwen HouHead and Neck Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Danwen ZhengPhase I Clinical Ward, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Hejia ChenPhase I Clinical Ward, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Lingfang MaPhase I Clinical Ward, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Yufang ZhouPhase I Clinical Ward, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China.
Xinyan YuPostgraduate training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, China.ORCID https://orcid.org/0009-0002-4317-3967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapy dramatically increases patient survival and radically changes the way lung cancer is treated. Through intricate network analysis of disease-related symptoms, symptom networks are able to statistically analyze and depict the links between different symptoms. Through symptom network analysis, this study seeks to pinpoint the primary symptoms that immunotherapy-treated lung cancer survivors encounter. Furthermore, by leveraging the synergistic relationships between symptoms, it aims to investigate the target actions for precise interventions, offering important insights for the creation of a successful symptom management program.

methodsWe assessed the symptoms of 249 lung cancer patients undergoing immunotherapy at Zhejiang Cancer Hospital between February and October of 2024. The evaluation was conducted using the Lung Cancer-Specific Module and the Anderson Symptom Assessment Scale (Chinese version). Following the use of exploratory factor analysis to discover symptom clusters, we calculated the centrality indices and created a network structure using the R programming language that displayed the connections between the symptoms. After controlling for factors, we constructed contemporaneous networks that had all 17 symptoms.

resultsFour symptom clusters-respiratory, emotional, gastrointestinal, and neuro-perceptual-were shown to be generalized. The three most prevalent symptoms, as determined by nodal intensity, were sadness (rs = 7.43), cough (rs = 6.65) and nausea (rs = 6.73). The most common symptoms at bridge intensity were nausea (rs = 4.69), cough (rs = 4.72), and sadness (rs = 5.69). The network's overall strength and structure did not significantly differ between the male and female groups, or between those who had or did not have a history of smoking.

conclusionThis study demonstrates that the symptom burden is significant among survivors of lung cancer immunotherapy, with sadness, cough, and nausea playing crucial roles in the multidimensional symptom network. Interventions focused on addressing sadness can effectively reduce the severity of the entire symptom network, while early intervention for cough and nausea can alleviate the symptom management burden for patients. Additionally, identifying more predictable symptoms can aid in selecting appropriate targets for symptom management. Healthcare professionals can utilize these symptom patterns to deliver evidence-based and precise symptom management for survivors of lung cancer immunotherapy.

Indexed as

Cancer SurvivorsImmunotherapyLung NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedSymptom Assessment

Identifiers

PMID40638626
PMCPMC12244778

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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 Socratic graph.