Analysis of Utility Assessment Scores to Objectify the Health Burden Caused by Breast Conservation Therapy
Bibliographic record
Abstract
BACKGROUND: Lumpectomy followed by radiation, known as breast conservation therapy (BCT), is a viable surgical treatment option for early-stage breast cancer. However, the current literature suggests that patients prefer mastectomy over BCT, likely due to the wide variety of postmastectomy reconstructive options. Our aim is to investigate the objective health burden of living with BCT to help surgeons gain a better understanding of patient treatment preferences. METHODS: Three validated health state utility tools were used to objectify the burden of living with post-BCT results: visual analogue scale (VAS), time trade-off (TTO), and standard gamble (SG). A prospective sample of the general population and medical students were recruited, and their responses analyzed to attain these scores. RESULTS: Utility scores for living with BCT are VAS 0.81 ± 0.19, TTO 0.93 ± 0.10, and SG 0.92 ± 0.14. The TTO and SG suggest a willingness to trade 2.5 years of life years and an 8% chance of death undergoing reconstructive procedures to correct a BCT defect, respectively. Age, gender, race, education, and income were not statistically significant independent predictors for higher or lower utility scores. CONCLUSION: The impact of the health burden of BCT was ascertained using validated objective numeric utility scores. These indices demonstrate a willingness to trade less life years to undergo correction of a BCT defect than reconstruction following unilateral mastectomy. They can provide surgeons with the best objective understanding of patient preferences for shared decision-making in the management of breast cancer.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".