Adherence to breast and ovarian cancer screening recommendations for female relatives from the Ontario site of the Breast Cancer Family Registry
Bibliographic record
Abstract
This study compares adherence to breast and ovarian cancer screening recommendations among a population cohort of women at familial risk of breast and/or ovarian cancer. This cross-sectional study included 1039 first-degree female relatives without breast cancer identified from the Ontario site of the Breast Cancer Family Registry. We compared breast and ovarian cancer screening behaviors, using a telephone-administered questionnaire among three groups of women defined by their familial risk (high, moderate, and low) of breast and/or ovarian cancer. Associations between screening behaviors and familial risk were assessed using multinomial regression models adjusted by familial clustering. Women, 40-49 years of age, at moderate or high familial risk were significantly more likely to have had a screening mammogram within the past 12 months [odds ratio (OR): 2.80; 95% confidence interval (CI): 1.40-5.58], and women of less than 50 years of age were more likely to have a clinical breast examination (OR: 1.84; 95% CI: 1.02-3.31) compared with women at low familial risk. Compared with women at low or moderate familial risk, women at high familial risk were significantly more likely to have ever had a genetic test for the BRCA 1/2 genes (OR: 2.67; 95% CI: 1.76-4.05). Although the overall level of adherence among high-risk women is suboptimal in the community, women at a higher familial risk are adhering more often to cancer screening recommendations than women at a lower familial risk.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".