Evidence map›Paper›PMID 38282044›Full record

ArticleCancer causes & control : CCC2024

What do cancer survivors believe caused their cancer? A secondary analysis of cross-sectional survey data.

Jacqueline Galica, Stephanie Saunders, Ziwei Pan, Amina Silva, Hok Kan Ling

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Article in Cancer causes & control : CCC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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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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

4 citing papers in PubMed.

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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

5 authors.

Jacqueline GalicaQueen's University School of Nursing, 92 Barrie Street, Kingston, ON, K7L 3N6, Canada. jacqueline.galica@queensu.ca.
Stephanie SaundersThe Ottawa Hospital, 1053 Carling Avenue, Ottawa, ON, K1Y 4E9, Canada.
Ziwei PanDepartment of Mathematics and Statistics, Queen's University, 48 University Avenue, Kingston, ON, K7L 3N6, Canada.
Amina SilvaFaculty of Applied Health Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON, L2S 3A1, Canada.
Hok Kan LingDepartment of Mathematics and Statistics, Queen's University, 48 University Avenue, Kingston, ON, K7L 3N6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGiven that risk reduction and healthy lifestyles can prevent 4 in 10 cancers, it is important to understand what survivors believe caused their cancer to inform educational initiatives.

methodsIn this secondary analysis, we analyzed cancer survivor responses on the Causes Subscale of the Revised Illness Perception Questionnaire, which lists 18 possible causes of illness and a free text question. We used descriptive statistics to determine cancer survivors' agreement with the listed causes and conducted separate partial proportional odds models for the top three causes to examine their associations with sociodemographic and clinical characteristics. Content analysis was used to examine free text responses.

resultsOf the 1,001 participants, most identified as Caucasian (n = 764, 77%), female (n = 845, 85%), and were diagnosed with breast cancer (n = 656, 66%). The most commonly believed causes of cancer were: stress or worry (n = 498, 51%), pollution in the environment (n = 471, 48%), and chance or bad luck (n = 412, 42%). The associations of sociodemographic and clinical variables varied across the models. Free text responses indicated that hereditary and genetic causes (n = 223, 22.3%) followed by trauma and stress (n = 218, 21.8%) and bad luck or chance (n = 79, 7.9%) were the most important causes of cancer.

conclusionsStudy results illuminate cancer survivors' beliefs about varying causes of their cancer diagnosis and identify characteristics of survivors who are more likely to believe certain factors caused their cancer. Results can be used to plan cancer education and risk-reduction campaigns and highlight for whom such initiatives would be most suitable.

Indexed as

Cancer SurvivorsNeoplasmsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesCancer survivorsJudgmentSurveys

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Textmetadata
Read underepoch 390

Registered trials

None linked

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.