Evidence map›Paper›PMID 39589548›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Heterogeneity of pain-fatigue-sleep disturbance symptom clusters in lung cancer patients after chemotherapy: a latent profile analysis.

Zhou Zhou, Yiting Yang, Jun Sun, Yajun Dong, Min Zhu, Teng Wang, Liping Teng

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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Zhou Zhou *Wuxi School of Medicine, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Yiting Yang *Wuxi School of Medicine, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Jun SunWuxi School of Medicine, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Yajun DongWuxi School of Medicine, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Min ZhuWuxi School of Medicine, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Teng WangDepartment of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, 214122, Jiangsu, China.
Liping TengWuxi School of Medicine, Jiangnan University, Wuxi, 214122, Jiangsu, China. tengliping@jiangnan.edu.cn.

Funding

the National Natural Science Foundation of China 82172583the Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX23_1245the Top Talent Support Program for young and middle-aged people of Wuxi Health Committee BJ 2020041
6 · The paper itself

Abstract

purposePain-fatigue-sleep disturbance symptom cluster (PFS) was common in patients with lung cancer and seriously affected the life quality of patients. However, the heterogeneity and subgroups of PFS were unclear in lung cancer patients after chemotherapy. This study was conducted to identify distinct subgroups of PFS in patients with lung cancer after chemotherapy, and explore the differences and risk factors of PFS subgroups.

methodsLung cancer patients after chemotherapy were recruited. Data were collected using the Chinese version of the Brief Pain Inventory, the Cancer Fatigue Scale, and the Pittsburgh Sleep Quality Index. The latent profile analysis (LPA) was used to identify the subgroups of PFS. Univariate analysis was used to identify the differences among all subgroups. Logistic regression and restricted cubic splines were used to investigate predictors of the PFS subgroups.

resultsBased on LPA, 512 participants were divided into four subgroups (Class 1: low pain-fatigue-sleep disturbance; Class 2: moderate pain-moderate fatigue-low sleep disturbance, Class 3: low pain-high fatigue-high sleep disturbance, and Class 4: high pain-fatigue-sleep disturbance). The univariate analysis showed that gender, body mass index (BMI), Eastern Cooperative Oncology Group (ECOG) performance status, leukocyte, neutrophils, platelet, C-reactive protein, stress, anxiety, depression, and social support were associated with PFS. The logistic regression analysis revealed that patients in Class 2 and Class 3 were more likely to experience great stress than those in Class 1. Additionally, compared to Class 1, females, lower BMI, stress, anxiety, and depression were independent predictors of Class 4.

conclusionThis study successfully identified subgroups of PFS in patients with lung cancer after chemotherapy. Based on the results of this study, medical workers can identify patients with high risks for PFS and conduct more targeted interventions to improve symptom management.

Indexed as

FatigueLung NeoplasmsSleep Wake DisordersAdultAgedAntineoplastic AgentsFemaleHumansLogistic ModelsMaleMiddle AgedPainQuality of LifeRisk FactorsAntineoplastic AgentsChemotherapyLatent profile analysisLung cancerSymptom cluster

Identifiers

PMID39589548

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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.