Evidence map›Paper›PMID 39578897›Full record

ArticleWorld journal of surgical oncology2024

Symptom burden and clusters during chemotherapy in patients with lung cancer.

Yan Wang, Liyuan Fang, Kainan Zhou, Yi Xie, Shuhan Yang, Suying Liu, Yuhang Fang, Runxi Wang, Bailu Sui, Ying Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

10 authors.

Yan Wang *Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Liyuan Fang *Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Kainan ZhouDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Yi XieDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Shuhan YangBeijing University of Chinese Medicine, Beijing, 100029, China.
Suying LiuDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Yuhang FangDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Runxi WangDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Bailu SuiDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China.
Ying ZhangDepartment of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixian Ge Street, Xicheng District, Beijing, 100053, China. zhangyingzyoo@126.com.

Funding

National Traditional Chinese Medicine Inheritance and Innovation team sub-project ZYYCXTD-C-202205
6 · The paper itself

Abstract

objectiveThis study aims to investigate the distribution characteristics of symptoms in patients with lung cancer during chemotherapy, identify the symptom clusters (SCs) and explore the underlying mechanisms. The findings will provide evidence to assist clinical staff in effectively managing symptoms and SCs.

methodsParticipants were recruited from the Oncology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, between July 2022 and December 2022. The incidence and severity of symptoms were assessed and SCs were identified. Spearman's correlation analysis was used to examine the correlation between lung cancer-specific SC and routine blood indices.

resultsA total of 169 patients participated in the study. The most prevalent and severe symptom was loss of appetite. Based on the occurrence rate and severity of symptoms, SC extraction was performed for mild, moderate, and severe symptoms, resulting in the identification of five SCs: psycho-emotional SC, chemotherapy-related SC, lung cancer-specific SC, urinary-related SC, and gastrointestinal SC. When only the moderate and severe symptoms were considered, two SCs were identified: chemotherapy-related SC and lung cancer-specific SC. Additionally, the lung cancer-specific SC showed a negative correlation with eosinophils.

conclusionPatients with lung cancer undergoing chemotherapy experience complex and diverse symptoms. A total of five SCs were extracted based on mild, moderate and severe symptoms and two SCs were extracted based on moderate and severe symptoms. The results of the study showed that lung cancer-specific SC was negatively correlated with eosinophils. Future research should focus on developing and refining research tools, methodologies, understanding the pathogenesis, and exploring intervention measures for SCs.

Indexed as

Lung NeoplasmsAdultAgedAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisSeverity of Illness IndexSymptom BurdenAntineoplastic AgentsChemotherapyExploratory factor analysisLung cancerSymptom burdenSymptom clusters

Identifiers

PMID39578897
PMCPMC11583389

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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.