Using Hemospray Improves the Cost-effectiveness Ratio in the Management of Upper Gastrointestinal Nonvariceal Bleeding
Bibliographic record
Abstract
GOALS: We compared the cost-effectiveness of traditional recommended endoscopic hemostatic therapies and Hemospray alone or in combination when treating nonvariceal upper gastrointestinal bleeding (NVUGIB). BACKGROUND: Hemospray (TC-325) is a novel endoscopic hemostatic powder, achieving hemostasis through adherence to actively bleeding biological surfaces. STUDY: A decision tree of patients with NVUGIB assessed 4 possible treatment strategies: traditional therapy alone (T), Hemospray alone (H), traditional therapy completed by Hemospray if needed (T+H), or Hemospray completed by traditional therapy if needed (H+T). Using published probabilities, effectiveness was the likelihood of avoiding rebleeding over 30 days. Costs in 2014 US$ were based on the US National Inpatient Sample. A third-party payer perspective was adopted. Sensitivity and subgroup analyses were performed. RESULTS: For all patients, T+H was more efficacious (97% avoiding rebleeding) and less expensive (average cost per patient of US$9150) than all other approaches. The second most cost-effective approach was H+T (5.57% less effective and US$635 more per patient). Sensitivity analyses showed T+H followed by a strategy of H+T remained more cost-effective than H or T alone when varying all probability assumptions across plausible ranges. Subgroup analysis showed that the inclusion of H (especially alone) was least adapted for ulcers and was more cost-effective when treating lesions at low risk of delayed rebleeding. CONCLUSIONS: Hemospray improves the effectiveness of traditional hemostasis, being less costly in most NVUGIB patient populations. A Hemospray first approach is most cost-effective for nonulcer bleeding lesions at low risk of delayed hemorrhage.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".