Candidate Predictors of Health-Related Quality of Life of Colorectal Cancer Survivors: A Systematic Review
Open accessAbstract
The population of colorectal cancer (CRC) survivors is growing and many survivors experience deteriorated health-related quality of life (HRQoL) in both early and late post-treatment phases. Identification of CRC survivors at risk for HRQoL deterioration can be improved by using prediction models. However, such models are currently not available for oncology practice. As a starting point for developing prediction models of HRQoL for CRC survivors, a comprehensive overview of potential candidate HRQoL predictors is necessary. Therefore, a systematic literature review was conducted to identify candidate predictors of HRQoL of CRC survivors. Original research articles on associations of biopsychosocial factors with HRQoL of CRC survivors were searched in PubMed, Embase, and Google Scholar. Two independent reviewers assessed eligibility and selected articles for inclusion (N = 53). Strength of evidence for candidate HRQoL predictors was graded according to predefined methodological criteria. The World Health Organization’s International Classification of Functioning, Disability and Health (ICF) was used to develop a biopsychosocial framework in which identified candidate HRQoL predictors were mapped across the main domains of the ICF: health condition, body structures and functions, activities, participation, and personal and environmental factors. The developed biopsychosocial ICF framework serves as a basis for selecting candidate HRQoL predictors, thereby providing conceptual guidance for developing comprehensive, evidence-based prediction models of HRQoL for CRC survivors. Such models are useful in clinical oncology practice to aid in identifying individual CRC survivors at risk for HRQoL deterioration and could also provide potential targets for a biopsychosocial intervention aimed at safeguarding the HRQoL of at-risk individuals.
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Psychosocial factors and quality of life in colorectal cancer
Sharma, A., Walker, A. A., Sharp, D. M., Monson, J. R. T., & Walker, L. (2007) · The Surgeon · doi:10.1016/s1479-666x(07)80087-4 · Cited by 13 · see citing works
Campbell, M. K., Mayer, D. K., Abernethy, A. P., et al. (2008) · North Carolina Medical Journal · doi:10.18043/ncm.69.4.322 · Cited by 3 · see citing works
Flagged first, then by citations
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Reb, A., Ruel, N., Fakih, M., Lai, L., Salgia, R., Ferrell, B., Sampath, S., Kim, J. Y., Raz, D. J., & Sun, V. (2017) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2017.06.003 · Cited by 45 · see citing works
O'Gara, G., Murray, L., Georgopoulou, S., Anstiss, T., Macquarrie, A., Wheatstone, P., Bellman, B., Gilbert, P., Steed, A., & Wiseman, T. (2022) · BMJ Open · doi:10.1136/bmjopen-2020-047626 · Cited by 34 · see citing works
- Authors
- Bours, M. J. L., Linden, B. W. A., Winkels, R. M., Duijnhoven, F. J., Mols, F., Roekel, E. H., Kampman, E., Beijer, S., & Weijenberg, M. P.
- Affiliations
- Maastricht University (NL)
- Wageningen University & Research (NL)
- Tilburg University (NL)
- Radboud University Medical Center (NL)
- Netherlands Comprehensive Cancer Organisation (NL)
- Corresponding author
- Bours, Martijn J.L.
- ORCID
- Venue
- The Oncologist
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-02-24
- Volume
- 21
- Issue
- 4
- Pages
- 433-452
- ISSN
- 1083-7159 (ISSN-L)
- 1549-490X
- PMC
- PMC4828113
- OpenAlex
- W2284968387
- Cited by
- 85
- References
- 98
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 6 · 2023: 10 · 2022: 14 · 2021: 17 · 2020: 14 · 2019: 7 · 2018: 8 · 2017: 5
- FWCI
- 0.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- The Oncologist (publishedVersion)
- PubMed Central (publishedVersion)
- Research portal (Tilburg University) (publishedVersion)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Alpe d’HuZes Foundation
- Dutch Cancer Society (UM-2012-5653, UM-2010-4867)
- VENI (451-10-041)
- Netherlands Organization for Scientific Research
- Kankeronderzoekfonds Limburg as part of Health Foundation Limburg (00005739)
- GROW – School for Oncology and Developmental Biology of Maastricht University
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Childhood Cancer Survivors' Quality of Life
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- colorectal cancer survivors, health-related quality of life, prediction model, biopsychosocial framework, International Classification of Functioning, Disability and Health, late effects of cancer treatment, risk identification, biopsychosocial intervention
- MeSH terms
- Depression, Health Status, Humans, Prognosis, Quality of Life, Surveys and Questionnaires, Social Class, Colorectal Neoplasms, Survivors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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