Cost-effectiveness of Staple Line Reinforcement in Laparoscopic Sleeve Gastrectomy
Bibliographic record
Abstract
OBJECTIVE: To perform a cost-effectiveness analysis of staple-line reinforcement in laparoscopic sleeve gastrectomy. SUMMARY OF BACKGROUND DATA: Exponential increases in surgical costs have underscored the critical need for evidence-based methods to determine the relative value of surgical devices. One such device is staple-line reinforcement, thought to decrease bleeding rates in laparoscopic sleeve gastrectomy. METHODS: Two intervention arms were modeled, staple-line reinforcement and standard nonreinforced stapling. Bleed and leak rates and 30-day treatment costs were obtained from national and state registries. Quality-adjusted life-year (QALY) values were drawn from previous literature. Device prices were drawn from institutional data. A final incremental cost-effectiveness ratio was calculated, and one-way and probabilistic sensitivity analyses were performed. RESULTS: A total of 346,530 patient records from 2012 to 2018 were included. Complication rates for the reinforced and standard cohorts were 0.05% for major bleed in both cohorts ( P = 0.8841); 0.45% compared with 0.59% for minor bleed ( P < 0.0001); and 0.24% compared with 0.26% for leak ( P = 0.4812). Median cost for a major bleed was $5552 ($3287, $16,817) and $2406 ($1861, $3484) for a minor bleed. Median leak cost was $9897 ($4589, $21,619) and median cost for patients who did not experience a bleed, leak, or other serious complication was $1908 ($1712, $2739). Mean incremental cost of reinforced stapling compared with standard was $819.60/surgery. Net QALY gain with reinforced stapling compared with standard was 0.00002. The resultant incremental cost-effectiveness ratio was $40,553,000/QALY. One-way and probabilistic sensitivity analyses failed to produce a value below $150,000/QALY. CONCLUSIONS: Compared with standard stapling, reinforced stapling reduces minor postoperative bleeding but not major bleeding or leaks and is not cost-effective if routinely used in laparoscopic sleeve gastrectomy.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".