Women’s Interest in Genetic Testing for Breast Cancer Risk
Bibliographic record
Abstract
The objective of this study was to assess women’s interest in genetic testing for breast cancer risk. Randomly selected samples of 761 women without breast cancer from the general population of British Columbia, Canada, and 260 women with breast cancer from the provincial cancer registry participated in a telephone survey that assessed interest in genetic testing for breast cancer risk, knowledge of hereditary breast cancer and genetic testing, and sociodemographics. Women with breast cancer did not possess superior knowledge of breast cancer genetics compared with women from the general population. Of the women with breast cancer, 30.8% reported interest in testing or had been tested, compared with 28.5% of women without breast cancer. Controlling for differences in age, education, personal history of breast cancer, and knowledge of genetics, women with at least one relative with breast cancer were 2.3 times more likely to express interest in genetic testing for breast cancer risk than those with no family history. There were significant interactions between breast cancer status and education and between age and knowledge of breast cancer genetics. Women without breast cancer and with a positive family history, who were between 20 and 40 years of age, were most likely to be interested in testing. The women with breast cancer who were interested in testing tended to be ∼50 years of age, had a positive family history, and had more years of education. Women with a family history of breast cancer, well-educated women with breast cancer, and younger women, particularly those with knowledge of genetic testing, are important target audiences for community-based education on genetic testing for breast cancer risk.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".