Cost-effectiveness of Roux-en-Y gastric bypass in type 2 diabetes patients.
Bibliographic record
Abstract
OBJECTIVE: To assess the cost-effectiveness of Roux-en-Y gastric bypass for treating type 2 diabetes mellitus (T2DM) in the United States compared with standard medical management, using clinical data from a prospective observational study conducted at an academic medical center. STUDY DESIGN: Our study used a predictive health economic model (the CORE Diabetes Model) to project the long-term costs and clinical effectiveness of Roux-en-Y gastric bypass as a treatment for T2DM using the prospective observational study as the basis for our clinical effectiveness assumptions. METHODS: The CORE Diabetes Model used Monte Carlo simulation with tracker variables to estimate the lifetime costs and clinical outcomes of Roux-en-Y gastric bypass compared with standard medical management of obese T2DM patients. Sensitivity analyses were performed on key clinical assumptions, discount rates, and shorter time horizons. RESULTS: The base-case scenario yielded an incremental cost-effectiveness ratio (ICER) of $21,973 per quality-adjusted life-year (QALY) gained. In sensitivity analyses, shortening the time horizon to 5 and 10 years and excluding the negative impact of increased body mass index on the patient's quality of life had the greatest adverse impact on the ICERs (ie, higher cost per QALY). CONCLUSIONS: Under base-case assumptions, Roux-en-Y gastric bypass is cost-effective in the treatment of T2DM in the United States with an ICER below $50,000 per QALY gained. Sensitivity analyses indicated that bariatric surgery is not cost-effective over shorter time horizons, or if the negative quality-of-life impact of increased body mass index is ignored.
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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 | 0.001 |
| 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".