Taking control of cancer: Why women are choosing mastectomy.
Bibliographic record
Abstract
9571 Background: Rates of both unilateral (UM) and bilateral mastectomy (BM) for early stage breast cancer (ESBC) have been increasing since 2003. Studies suggest that this is due to women playing a more active role in their decision making, however they do not describe why women are choosing this option. Methods: We conducted a qualitative study using grounded theory to identify factors influential in women’s choice for mastectomy. Purposive sampling was used to identify women across the Greater Toronto Area (Ontario, Canada), who were suitable candidates for breast conserving surgery (BCS) but underwent UM or BM. Data were collected through semi-structured interviews. Constant comparative analysis identified key ideas and themes. Results: Data saturation was achieved after 29 in-person interviews. 12 interviewees were treated at academic cancer centres, 6 at an academic non-cancer centre and 11 at community centres. 15 women underwent UM; 14 underwent BM. Median age was 55. ‘Taking control of cancer’ was the dominant theme that emerged. There were 7 subthemes: 1.the Diagnosis of cancer was received with shock and fear; 2.during Surgical Discussion both BCS and UM were discussed; BM was discouraged by the surgeon 3.women Misperceived Risk, misunderstanding recurrence and survival rates 4.Women’s choice for UM was due to fear of recurrence and/ or radiation 5.Women’s choice for BM was due to fear of recurrence, ‘never wanting to do this again’ and/or need for cosmetic balance 6.Sources of Information varied in importance, previous cancer experience had the greatest impact 7.women were actively Controlling Outcomes, more surgery was seen as greater control. Conclusions: Women seeking UM and BM for treatment of their early stage breast cancer manage their fear of recurrence and ‘never wanting to go through this again’ by undergoing more extensive surgery. The patient’s effort to control the cancer outcome is the driving factor behind women choosing mastectomy.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".