Implementation of a population-based breast screening program for high-risk women in Ontario: The Ontario Breast Screening Program (OBSP) High-Risk Program.
Bibliographic record
Abstract
e12034 Background: Genetic testing for mutations in BRCA1 and BRCA2 has been clinically available in Ontario since 2000. It is estimated that over 15000 individuals have been tested. Evidence from clinical trials have consistently shown that women at high risk of breast cancer such as BRCA1/2 mutation carriers benefit from breast cancer screening that includes both magnetic resonance imaging (MRI) of the breast and mammography, yet access to MRI in Ontario was variable. In 2011, Cancer Care Ontario established an expert panel to develop a protocol for expanding the Ontario Breast Screening Program, initially created for average risk women 50-74, to include MRI and mammography for eligible high risk women. Methods: The panel’s tasks included: 1. determining the criteria for high risk, 2. estimating the prevalence of high risk women, 3. selecting a model to estimate cancer risk, 4. developing a referral and assessment pathway for potentially eligible subjects to receive genetic counseling/risk assessment and screening if eligible, 5. developing educational resources, training plan and communication strategy for relevant stakeholders including primary care providers, oncologists, geneticists and genetic counselors, 6. developing indicators to permit program evaluation, 7. providing guidance for post-implementation issues such as subject eligibility and interpretation of genetic test results. Results: The program was initiated July, 2011 at 19 sites. Women aged 30-69 with and without a history of breast cancer are eligible if they 1. are BRCA1/2 mutation carriers or untested first degree relatives of carriers, 2. have a lifetime risk of breast cancer >=25% based on family history, or 3. received prior radiation therapy to the chest. It is estimated that 34000 high risk women in the target age group live in Ontario. Conclusions: A population based organized screening program for high risk women that includes genetic risk assessment has been implemented in Ontario. To our knowledge, this is the first organized screening program for women at high risk of breast cancer.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".