Preoperative and Postoperative Change in Patient-Reported Health-Related Quality of Life Outcomes in Breast Cancer Surgery Patients Across Surgical Modalities: A Prospective Study
Bibliographic record
Abstract
Background: This study compared the change in pre- and postoperative health-related quality of life (HRQoL) among breast cancer patients undergoing breast-conserving surgery (BCS), total mastectomy no reconstruction (TMNR), and total mastectomy immediate breast reconstruction (MIBR). Patient factors associated with postoperative anxiety and depression were also identified. Methods: This prospective cohort study enrolled breast cancer patients between September 2017 and August 2020. HRQoL changes from preoperative to six months postoperative were compared using patient-reported outcome tools assessing anxiety, depression, pain, perceived health, breast satisfaction, psychosocial, physical, and sexual well-being and analyzed with ANOVA and linear regression. Results: A total of 471 patients completed preoperative and postoperative surveys (BCS: 313, TMNR: 60, MIBR: 98). Postoperative anxiety decreased across all modalities, with MIBR showing the greatest reduction (p = 0.03), though still exhibiting the highest postoperative anxiety (p = 0.05). Depression and perceived health scores showed no significant difference in change across modalities (p = 0.15, p = 0.48). MIBR patients showed the greatest increase in pain (p = 0.05) and the highest postoperative pain scores (p = 0.04). All three modalities showed a clinically significant decline in physical and sexual well-being. TMNR and MIBR had additional reductions in breast satisfaction, with TMNR also showing a decline in psychosocial well-being. Absolute postoperative scores for breast satisfaction, psychosocial, physical, and sexual well-being remained highest in BCS compared to TMNR and MIBR (p < 0.01, for each domain). In multivariable regression analysis, postoperative depression and anxiety scores did not differ between surgical modalities, but younger age was significantly associated with higher postoperative depression, pain and anxiety (p < 0.01), and adjuvant chemotherapy with higher postoperative depression (p < 0.01). Conclusions: BCS may have better overall HRQoL outcomes, specifically in breast satisfaction, psychosocial, physical, and sexual well-being, compared to TMNR and MIBR. Additionally, younger age, rather than surgical modality, was found to be associated with higher postoperative depression, pain, and anxiety scores.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".