ArticleGenes2022
What Causes Cancer in Women with a
Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Not all information is equally important: informed consent to genetic testing for hereditary cancer.Journal of cancer research and clinical oncology · 2026Article
- Causal Attributions in Patients With Breast and Gynecological Cancers: A Scoping Review.Psycho-oncology · 2025Article
- Primary Prevention and Early Detection of Hereditary Breast Cancer.Breast care (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laypersons have a strong need to explain critical life events, such as the development of an illness. Expert explanations do not always match the beliefs of patients. We therefore assessed causal attributions made by women with a pathogenic germline variant in BRCA1/2 (gBRCA1/2-PV), both with and without a cancer diagnosis. We assumed that attributions would be associated with the control experience. We conducted a cross-sectional study of N = 101 women with a gBRCA1/2-PV (mean age 43.3 ± 10.9). Women answered self-report questionnaires on perceived causes and control. Most women (97%) named genes as a causal factor for the development of cancer. Surprisingly, the majority of women also named stress and health behavior (both 81%), environment (80%), and personality (61%). Women with a cancer diagnosis tended to endorse more causes. The attributions to personality (ρ = 0.39, p < 0.01) health behavior (ρ = 0.44, p < 0.01), and environment (ρ = 0.22, p < 0.05) were significantly associated with personal control, whereas attribution to genes showed a small, albeit significant association with treatment control (ρ = 0.20, p < 0.05). Discussing causal beliefs in clinical counseling may provide a “window of opportunity” in which risk factors and health behaviors could be better addressed and individually targeted.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.