The Stretta Procedure Versus Proton Pump Inhibitors and Laparoscopic Nissen Fundoplication in the Management of Gastroesophageal Reflux Disease: A Cost-Effectiveness Analysis
Bibliographic record
Abstract
BACKGROUND: The Stretta procedure is an endoscopic therapy for gastroesophageal reflux disease. OBJECTIVE: To evaluate the cost-effectiveness of the Stretta procedure and that of competing strategies in the long-term management of gastroesophageal reflux disease. METHODS: A Markov model was designed to estimate costs and health outcomes in Canadian patients with gastroesophageal reflux disease over five years, from a Ministry of Health perspective. Strategies included the use of daily proton pump inhibitors (PPIs), laparoscopic Nissen fundoplication (LNF) and the Stretta procedure. Probabilities and utilities were derived from the literature. Costs are expressed in 2006 Canadian dollars. Units of effectiveness were symptom-free months (SFMs) and quality-adjusted life years (QALYs), using a five-year time horizon. RESULTS: In the analysis that used SFMs, the strategy using PPIs exhibited the lowest costs ($40 per SFM) and the greatest number of SFMs, thus dominating both the LNF and Stretta systems. But the cost-effectiveness analysis using QALYs as the measure of effectiveness showed that PPIs presented the lowest cost-effectiveness ratio, while both the LNF and Stretta strategies were associated with very high incremental costs (approximately $353,000 and $393,000, respectively) to achieve an additional QALY. However, the PPI strategy did not dominate the two other strategies, which were associated with better effectiveness. CONCLUSIONS: If SFMs are used as the measure of effectiveness, PPIs dominate the Stretta and LNF strategies. However, if QALYs are used, the PPIs still present the lowest cost and LNF gives the best effectiveness. Regardless of the units of effectiveness or utility used in the present cost analysis, an approach of prescribing PPIs appears to be the preferred strategy.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.002 | 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".