Reflex BRCA1 and BRCA2 tumour genetic testing for high-grade serous ovarian cancer: streamlined for clinicians but what do patients think?
Bibliographic record
Abstract
BACKGROUND: Reflex (automatic) BRCA1 and BRCA2 (BRCA1/2) genetic testing of tumour tissue is being completed for all newly diagnosed high-grade serous ovarian cancer (HGSOC) in the province of Ontario, Canada. The objective of this study was to measure the psychological impact of tumour genetic testing among individuals with a new diagnosis of HGSOC. METHODS: Participants had a new diagnosis of HGSOC and received reflex BRCA1/2 tumour genetic testing as a component of their care. Eligible individuals were recruited from two oncology centres in Toronto, Canada. One week after disclosure of tumour genetic test results, consenting participants were asked to complete a questionnaire that measured cancer-related distress, dispositional optimism, knowledge of hereditary breast/ovarian cancer, recall of tumour genetic test results, satisfaction, and the psychological impact of receiving tumour genetic test results. The Multidimensional Impact of Cancer Risk Assessment (MICRA) questionnaire was used to measure the psychological impact of tumour genetic testing. RESULTS: 76 individuals completed the study survey; 13 said they did not receive their tumour test results. Of the remaining 63 participants, the average MICRA score was 26.8 (SD = 16.3). Higher total MICRA scores were seen among those with children (p = 0.02), who received treatment with primary surgery (p = 0.02), and had higher reported cancer-related distress (p < 0.001). Higher dispositional optimism (p < 0.001) and increasing age (p = 0.03) were associated with lower total MICRA scores. Most (83.5%) participants reported being satisfied/highly satisfied with having tumour testing completed; however, 40.8% could not accurately recall their tumor test results. CONCLUSIONS: This study is the first to assess psychological outcomes following reflex BRCA1/2 tumour genetic testing in women newly diagnosed with HGSOC. Increased dispositional optimism provided a protective effect, while increased cancer-related distress increased the psychological impact of tumour genetic testing. Educational resources are needed to help increase patient understanding and recall of tumour results, particularly when tumour genetic testing includes analysis of genes that may have implications for hereditary cancer risk. Additional research is required to better understand the patient experience of reflex tumour genetic testing.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".