The Use of AlloDerm in Postmastectomy Alloplastic Breast Reconstruction: Part II. A Cost Analysis
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Bibliographic record
Abstract
BACKGROUND: Increasingly, AlloDerm is being used in alloplastic breast reconstruction, and has been the subject of a recent systematic review. The authors' objective was to perform a cost analysis comparing direct-to-implant with AlloDerm reconstruction to two-stage non-AlloDerm reconstruction. METHODS: Seven clinically important health outcomes and their probabilities for both types of reconstruction were derived from the recent review. A decision analytic model from the Canadian provincial payer's perspective was constructed based on these health states. Direct medical costs were estimated from a university-based hospital, yielding expected costs for direct-to-implant reconstruction with AlloDerm and two-stage non-AlloDerm reconstruction. Sensitivity analyses were conducted. RESULTS: Baseline and expected costs were calculated for direct-to-implant AlloDerm and two-stage non-AlloDerm reconstruction. Direct-to-implant reconstruction with AlloDerm was found to be less expensive in the baseline ($10,240 versus $10,584) and expected cost ($10,734 versus $11,251) using a 6 × 16-cm AlloDerm sheet. With a 6 × 12-cm sheet, expected cost falls to $9673. By increasing direct-to-implant operative time from 2 hours to 2.5 hours, expected cost rises to $11,784. If capsular contracture rate requiring revision is set at 15 percent for both procedures, expected costs are $10,926 and $11,251 for direct-to-implant and two-stage procedures, respectively. If the capsular contracture rate is lowered for either procedure, this has minimal impact on expected cost. CONCLUSIONS: Although AlloDerm is expensive, it appears to be cost-effective if used for direct-to-implant breast reconstruction. The methods used here may be extrapolated to different centers incorporating local costs and complication rates. A formal randomized controlled trial, including costs, is recommended.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it