Reoperation Rate After Primary Augmentation With Smooth, Textured, High Fill, Cohesive, Round Breast Implants (RANBI-I Study)
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Bibliographic record
Abstract
BACKGROUND: Reoperation after primary breast augmentation remains an important clinical issue. OBJECTIVE: The authors sought to evaluate incidence and causes of reoperation in patients who underwent primary augmentation. METHODS: This retrospective, noninterventional study conducted at 16 Canadian sites reviewed medical records and patient-completed questionnaires of women who underwent primary breast augmentation with smooth or textured Natrelle Inspira implants containing TruForm 1 or TruForm 2 gel. Patients were aged ≥22 years, received implants via inframammary fold incision, and returned for follow-up at 2 to 4 years. RESULTS: A total of 319 women received Inspira implants (smooth TruForm 2, n = 205; textured TruForm 2, n = 99; smooth or textured TruForm 1, n = 15). At follow-up, 30 women (9.4%) had undergone reoperation, including 19 (9.3%) in the smooth TruForm 2 subgroup and 9 (9.1%) in the textured TruForm 2 subgroup. The mean time to reoperation was 1.2 years; the risk rate for reoperation was 9.9% at 3 years. The most common reasons for reoperation were implant malposition (36.7%), capsular contracture (33.3%), and the patient's request for a change in implant size or style (20.0%). Most women were very or somewhat satisfied with the initial surgery (89.3% overall; 90.7% smooth TruForm 2; 86.9% textured TruForm 2). Thirty-four women (10.7%) reported adverse events, including 20 (9.8%) in the smooth TruForm 2 subgroup and 14 (14.1%) in the textured TruForm 2 subgroup. CONCLUSIONS: This analysis suggests that Natrelle Inspira TruForm 2 implants are safe when used in primary breast augmentation, resulting in low reoperation rates that are consistent with those for other breast implants.
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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 | 0.001 | 0.000 |
| 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 it