Evidence map›Paper›PMID 38495643›Full record

ArticleAsia-Pacific journal of oncology nursing2024

Identifying central symptom clusters and correlates in patients with lung cancer post-chemotherapy: A network analysis.

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

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Network temperature and stability of symptom clusters in colorectal cancer patients undergoing adjuvant chemotherapy: a prospective longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Observational
  3. Article
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  5. Symptom clusters and network analysis in lung cancer patients receiving taxane-based chemotherapy: a comprehensive assessment using the CIPNAT multi-scale tool.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  6. Article
  7. Article
  8. Trajectories of fatigue-pain-sleep disturbance symptom cluster in patients with lung cancer undergoing chemotherapy and its predictive factors: Latent class growth model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  9. Article
  10. Article
  11. Network analysis of core symptom changes in lung cancer survivors: a longitudinal study.Journal of cancer survivorship : research and practice · 2025
    Article
  12. Core symptoms in patients with colorectal cancer receiving chemotherapy: a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  13. Article
  14. Article
  15. Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  16. Article
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.

Liping TengWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Zhou ZhouWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Yiting YangWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Jun SunWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Yajun DongWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Min ZhuWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Teng WangDepartment of Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to investigate the network structures of symptoms and symptom clusters in patients with lung cancer post-chemotherapy, with a focus on identifying the central symptom cluster. Understanding the central cluster is crucial for targeted and effective symptom management. Methods: Symptom occurrence and severity were assessed using the Memorial Symptom Assessment Scale (MSAS). Principal component analysis (PCA) was employed to explore symptom clusters, while network analysis unveiled the network structure and pinpointed the central symptom cluster. Results: The study included 512 patients with lung cancer. Four distinct symptom clusters emerged: sickness behavior, psychological, lung cancer-specific, and epithelial. The sickness behavior symptom cluster was identified as the central symptom cluster. Conclusions: This research designates the sickness behavior symptom cluster as central in post-chemotherapy patients with lung cancer, offering valuable insights for clinical nurses in devising more effective symptom management strategies. Trial registration: ChiCTR2300070944 (Chinese Clinical Trial Register).

Indexed as

Lung cancerNetwork analysisSymptom clusterSymptom management

Identifiers

PMID38495643
PMCPMC10940888

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.