A prospective study of mastectomy patients with and without delayed breast reconstruction: Long‐term psychosocial functioning in the breast cancer survivorship period
Bibliographic record
Abstract
INTRODUCTION: For women who have mastectomy, breast reconstruction is an option which may improve psychosocial functioning. The purpose of this study was to evaluate changes in psychosocial functioning over a long follow-up period after mastectomy, specifically examining the differences between those with mastectomy alone and those who underwent postmastectomy delayed breast reconstruction (DBR). METHODS: This was a prospective longitudinal survey study of women with mastectomy in which a repeated measures design was used to compare psychosocial function scores over 3 timepoints: 1) pre-mastectomy; 2) one year post-mastectomy; and 3) long-term post-mastectomy (mean 6.3 years). In addition, psychosocial functioning was compared between the mastectomy alone group and the group who elected for DBR. RESULTS: 67 women who completed questionnaires at all three time points were included. The long-term follow-up time post-mastectomy was 75.2 months (6.3 years). Twenty-eight women (41.8%) underwent DBR in the study period. For the entire cohort, between one-year and long-term post-mastectomy, there were significant improvements in scores for body concerns (P = 0.03), cancer-related distress (P = 0.01), and total distress (P = 0.04). At long-term follow-up, women with DBR had significantly higher levels of total distress (P = 0.01), obsessiveness (P = 0.03), and cancer-related distress (P = 0.02) compared to those with mastectomy alone. There were no differences in quality of life between the two groups at any time point. CONCLUSIONS: Psychosocial functioning improves over time in patients treated with mastectomy in the long-term breast cancer survivorship period, which may be related to the effect of time post-treatment, rather than an effect of choice for or against DBR.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".