The impact of an expanded genetic testing program and selective oophorectomy on the incidence of ovarian cancer in West Pomerania
Bibliographic record
Abstract
The aim of the study was to evaluate the impact of a regional population-based genetic testing program on the incidence of ovarian cancer in West Pomerania. Between 1999 and 2010, a total of 37,552 women ages 35 to 70 were tested for three BRCA1 founder mutations at the outpatient genetics clinic of the Pomeranian Medical University in Szczecin, Poland. A total of 641 women were found to carry a mutation (1.7%) and of these, 220 had a prophylactic oophorectomy (34.3%). A total of 12 women had an occult cancer diagnosed at the time of prophylactic oophorectomy (5.5%). We estimate that 26 more ovarian cancers would have been diagnosed by January 2015 in the absence of these oophorectomies and that an additional 25 cancers will be prevented in the future (total 51). During this period, 1611 ovarian cancers were diagnosed in the region; therefore we estimate that approximately 1.6% of ovarian cancers were prevented between 1999 and 2015 by our genetic testing program. We conclude that the prophylactic oophorectomies performed between 1999 and 2010 as a result of widespread BRCA1 mutation testing have reduced the incidence of ovarian cancer in Pomerania by a small amount (about 1.6%), and that the impact of genetic testing will increase in the coming years.
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 | 0.000 | 0.001 |
| 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".