Perception of Implants among Breast Reconstruction Patients in Montreal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: In light of the recent surge of media coverage and social media influence regarding breast implants, it is essential to understand patients’ concerns and misconceptions so that we can better serve them. Methods: The authors designed a survey study for assessing the awareness and perception of patients toward breast implant–associated anaplastic large cell lymphoma (BIA-ALCL) and breast implant illness (BII). In total, 130 patients presenting to the senior author’s breast reconstruction clinic completed the survey. The survey assessed patients’ knowledge on and their perception of BIA-ALCL and BII. Results: “News article” and “Television” were most often selected as sources of information for BIA-ALCL (21% and 20%, respectively) and BII (20% and 25%, respectively). A total of 100 patients (77%) had previous knowledge of BIA-ALCL. Forty-seven percent (n = 47/100) responded that they were unsure of the fate of a person diagnosed with BIA-ALCL, and 25% (n = 25/100) were unaware of the association between BIA-ALCL and specific implant type. Patients who were unaware of BIA-ALCL prognosis reported being less likely to receive breast implants in the future ( P = 0.012, χ 2 = 19.48). Eighty-nine patients (68%) had previous knowledge of BII. A total of 60 symptoms were mentioned by patients, with “Fatigue” (12%, n = 26) being cited the most often. Conclusions: The present survey highlights the importance for plastic surgeons to frequently discuss these entities with their patients. This should be done despite the obscurity of BII, in an effort to offer the best available evidence to our patients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it