Evidence map›Paper›PMID 38713314›Full record

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

Symptom cluster among cancer survivors from a nationally representative survey: a network analysis.

Zhen Zhang, Jiahui Lao, Mingming Liu, Shenglong Zheng, Ming Zhao, Min Zhang

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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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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

6 citing papers in PubMed.

  1. Reconsidering the interpretation of network analysis in symptom research.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Article
  3. Cancer-related fatigue in cancer survivors: an updated clinical practice review for healthcare providers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  4. Article
  5. Article
  6. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhen ZhangSchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jiahui LaoThe First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
Mingming LiuDepartment of Emergency, Qilu Hospital, Shandong University, Jinan, Shandong, China.
Shenglong ZhengDepartment of Emergency, Qilu Hospital, Shandong University, Jinan, Shandong, China.
Ming ZhaoDepartment of Emergency, Qilu Hospital, Shandong University, Jinan, Shandong, China.
Min ZhangDepartment of Nursing, Qilu Hospital, Shandong University, Jinan, China. 18560082969@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the symptom cluster among cancer survivors and examine their subgroup differences via network analysis based on nationally representative data.

methodsThis cross-sectional study included 2966 survivors participating in the 2020 National Health Interview Survey (NHIS). Participants self-reported the presence of 14 symptoms capturing four clusters (physical, somatic, sleep, and psychologic problems). Network analysis models were used to reveal the relationships between symptoms and those interactions. Network comparison tests were applied to compare subgroups.

resultsThe core symptoms of the symptom cluster were fatigue (Bet = 33, Clo = 0.0067, Str = 0.9397), pain (Bet = 11, Clo = 0.0060, Str = 0.9226), wake up well rested (Bet = 25, Clo = 0.0057, Str = 0.8491), and anxiety (Bet = 5, Clo = 0.0043, Str = 0.9697) among cancer survivors. The core symptoms, network structure, and global strength were invariant between time since diagnoses (< 2 years vs. ≥ 2 years) or between numbers of cancers (1 vs. ≥ 2), yet varied between the comorbidity group and non-comorbidity group (≥ 1 vs. 0).

conclusionsFatigue would be a potential target for alleviating other symptoms through a negative feedback loop of other related symptoms of cancer survivors. In particular, cancer survivors with other chronic diseases should be the focus of attention and strengthen targeted intervention.

Indexed as

Cancer SurvivorsAdultAgedAnxietyCross-Sectional StudiesFatigueFemaleHealth SurveysHumansMaleMiddle AgedNeoplasmsSurveys and QuestionnairesUnited StatesCancer survivorsComorbidityNetwork analysisSymptoms cluster

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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.