A Comparison of the Superficial Inferior Epigastric Artery Flap and Deep Inferior Epigastric Perforator Flap in Postmastectomy Reconstruction: A Cost-Effectiveness Analysis
Bibliographic record
Abstract
PURPOSE: To perform a cost-effectiveness analysis comparing the superficial inferior epigastric artery (SIEA) and deep inferior epigastric perforator (DIEP) flaps in postmastectomy reconstruction. METHODS: A decision analytic model with seven clinically important health outcomes (health states) was used, incorporating the Ontario Ministry of Health's perspective. Direct medical costs were estimated from a university-based hospital. The utilities of each health state converted into quality-adjusted life years (QALYs) were obtained from previously published data. Health state probabilities were computed from a systematic literature review. Analyses yielded SIEA and DIEP expected costs and QALYs allowing calculation of the incremental cost-utility ratio (ICUR). One-way sensitivity analyses were conducted under five plausible scenarios, assessing result robustness. RESULTS: Five SIEA and 27 DIEP studies were identified. The baseline SIEA expected cost was slightly higher than that for the DIEP ($16,107 versus $16,095), with slightly higher QALYs (33.14 years versus 32.98 years), giving an ICUR of $77/QALY. Taking into account conversions from SIEA to DIEP, the ICUR increased to $4,480/QALY. Sensitivity analysis gave ICURs ranging from $2,614/QALY to 'dominant', all consistent with the adoption of the SIEA over the DIEP. CONCLUSION: The best available evidence suggests the SIEA is a cost-effective procedure. However, given the high SIEA to DIEP conversion rates and small marginal differences in cost and effectiveness, the ICUR may be sensitive to minor changes in costs or QALYs. The 'truth' can only be obtained from a randomized, controlled trial comparing both techniques side by side, simultaneously capturing the costs of the competing interventions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".