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Cited by 326Cancer survivorship and careCancer-related cognitive impairment studiesFrailty in Older Adults

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

Prevalence and risk factors of cancer-related fatigue: A systematic review and meta-analysis

Ma, Yuxia, He, Bo, Jiang, Mengyao, Yang, Yanlin, Wang, Chenxia, Huang, Can, Han, Lin·2020·International Journal of Nursing Studies
DOI 10.1016/j.ijnurstu.2020.103707
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Abstract

Background Cancer-related fatigue, one of the most frequent side-effects of cancer treatment, affects the well-being of patients. Despite the fact that the estimated prevalence and risk factors of cancer-related fatigue are widely reported, these results have not been synthesized.Objectives To systematically assess the prevalence of cancer-related fatigue, including stratification by fatigue degree, sex, age, therapeutic method, cancer-related fatigue scales, countries, and risk factors for cancer-related fatigue.Design Systematic literature review and meta-analysis.Data sources PubMed, Cochrane Library, Web of Science, CINAHL Plus, China Knowledge Resource Integrated Database (CNKI), Wanfang Database, Chinese Biomedical Database (CBM), and Weipu Database (VIP) were comprehensively searched for observational studies investigating the prevalence and risk factors of cancer-related fatigue from inception to March 31st, 2019.Review methods Original journal articles were included which met the inclusion criteria. The quality of the included studies was evaluated independently by two investigators. Meta-analysis was conducted using Stata 12.0 software package, with estimates of cancer-related fatigue from pooled using a random-effects model.Results In total, 2641 articles were screened and data from 84 studies involving 144,813 subjects were used in meta-analysis. The prevalence of cancer-related fatigue in individual studies varied from 14.03% to 100%. The pooled prevalence of cancer-related fatigue was 52% (95% confidence interval, CI: 48% to 56%, I 2 = 99.7%, P < 0.0001). After controlling for confounding variables, the following risk factors were associated with cancer-related fatigue: poor performance status (odds ratio, OR = 6.58, 95% CI: 2.60 to 16.67, I 2 = 75.2%, P < 0.0001), chemoradiotherapy (OR = 2.25, 95% CI: 1.90 to 2.67, I 2 =0%, P<0.0001), female sex (OR = 2.07, 95% CI: 1.51 to 2.84, I 2 = 41.2%, P<0.0001), insomnia (OR = 2.83, 95% CI: 1.22 to 6.57, I 2 = 98.3%, P = 0.015), neuroticism (OR = 1.23, 95% CI: 1.05 to 1.43, I 2 = 88.9%, P = 0.01), pain (OR = 2.64, 95% CI: 1.20 to 5.80, I 2 = 95.3%, P = 0.016), and depression (OR = 2.23, 95% CI: 1.70 to 2.93, I 2 = 98.1%, P < 0.0001).Conclusion The current analysis indicates an overall pooled prevalence of cancer-related fatigue of 52%. Poor performance status, chemoradiotherapy, female sex, insomnia, neuroticism, pain, and depression were identified as risk factors for cancer-related fatigue. Understanding the risk factors of cancer-related fatigue can provide the healthcare personnel with the theoretical basis for the management and treatment of the patients.

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Research works printed but not linked: 8

  1. Lamino, 2011, Prevalence and comorbidity of pain and fatigue in women with breast cancer, Revista Da Escola De Enfermagem Da Usp, 45, 496
  2. Mai, 2018, Relationship between smoking type 2 diabetes mellitus among male smokers, Chin J Public Health, 34, 1078
  3. Nowicki, 2017, The assessment of cancer-related fatigue syndrome in patients with lung cancer during palliative chemotherapy, Advances in Respiratory Medicine, 85, 69, 10.5603/ARM.2017.0013 · DOI
  4. Tan, 2009, Correlation between cancer fatigue and clinical symptoms in elderly patients with malignant tumor, Nurs J Chin People's Liberation Army, 26, 26
  5. Wang, 2011, Investigation on the cancer-related and fatigue-relief strategies of patients with malignant urinary system tumors, Chin J Modern Med, 21, 2998
  6. Xue, 2012, Research progress on evaluation tools and indicators of cancer-induced fatigue, Chin J Nurs, 47, 859
  7. Yuan, 2015, Progress in research on prevalence and control of smoking and second hand smoking women in China: a review, Chin J Public Health, 31, 1268
  8. Yue, 2015, Relationship between clinical features and cancer related fatigue in patients with bone tumor, Prac J Cancer, 463

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Metadata

Authors
Ma, Y., He, B., Jiang, M., Yang, Y., Wang, C., Huang, C., & Han, L.
Affiliations
  • Lanzhou University (CN)
  • Gansu University of Traditional Chinese Medicine (CN)
  • Gansu Provincial Hospital (CN)
Corresponding author
Han, Lin
ORCID
Venue
International Journal of Nursing Studies
Publisher
Elsevier BV
Published
2020-11
Volume
111
Pages
103707
ISSN
0020-7489 (ISSN-L)
DOI
10.1016/j.ijnurstu.2020.103707
OpenAlex
W3041694213
Cited by
326
References
90
Citations by year
2026: 58 · 2025: 88 · 2024: 76 · 2023: 50 · 2022: 40 · 2021: 12 · 2020: 1
FWCI
2.77
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • International Journal of Nursing Studies (publishedVersion)
  • PubMed (publishedVersion)
  • Lanzhou University Institutional Repository (submittedVersion)
Funders
Fundamental Research Funds for the Central Universities (lzujbky-2018-ct05, lzujbky-2020–10, lzujbky-2016-ct14, lzujbky-2018–77)
Topics
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
  • Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
Keywords
cancer-related fatigue, prevalence, risk factors, performance status, chemoradiotherapy, insomnia, sex differences, cancer treatment side effects, fatigue severity, cancer patients, quality of life, prognostic factors, prognostic risk score
MeSH terms
China, Fatigue, Female, Humans, Neoplasms, Risk Factors, Prevalence

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