Patient Satisfaction and Health-Related Quality of Life following Breast Reconstruction: Patient-Reported Outcomes among Saline and Silicone Implant Recipients
Bibliographic record
Abstract
BACKGROUND: In recent years, there has been a growing acceptance of the value of breast reconstruction. The majority of women who choose to proceed will undergo alloplastic reconstruction. The primary objective of this study was to determine whether the type of implant used in alloplastic breast reconstruction has an impact on patient-reported satisfaction and quality of life. METHODS: Patients were deemed eligible if they had completed alloplastic reconstruction at least 1 year before study initiation. Patients were contacted by mail: two questionnaires [the BREAST-Q and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C30 (Br23) (EORTC QLQC30 (Br23))], a contact letter, and an incentive gift card were included. Scores were compared between silicone and saline implant recipients. RESULTS: Seventy-five silicone implant recipients and 68 saline implant recipients responded, for a response rate of 58 percent. BREAST-Q responses showed silicone implant recipients to have higher scores on all nine subscales. This difference reached statistical significance on four of nine subscales: overall satisfaction (p = 0.008), psychological well-being (p = 0.032), sexual well-being (p = 0.05), and satisfaction with surgeon (p = 0.019). Regression analysis adjusted for follow-up time, timing of surgery, unilateral versus bilateral surgery, radiation, and age. Results from the EORTC QLQC30 (Br23) showed a statistically significant difference on two of 22 subscales: silicone recipients had higher overall physical function, and saline recipients had higher systemic side effects. CONCLUSIONS: This study has shown higher satisfaction with breast reconstruction in silicone gel implant recipients compared with saline recipients using the BREAST-Q. There was no difference in overall global health status between the two patient groups as measured by the EORTC-QLQC30 (Br23).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".