Endoscopic polypectomy in the clinic: a pilot cost‐effectiveness analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The purpose of this pilot economic evaluation was to assess the cost-effectiveness of the endoscopic polypectomy in the clinic (EPIC) procedure compared to formal endoscopic sinus surgery (ESS) for the treatment of select chronic rhinosinusitis (CRS) patients with nasal polyposis. DESIGN: Cost-effectiveness analysis using a Markov decision tree model with a 30-year time horizon. The two comparative treatment groups were as follows: (i) EPIC and (ii) ESS. Costs and effects were discounted at a rate of 3.5%. A probabilistic sensitivity analysis was performed. SETTING: Economic perspective of the Canadian government third-party payer. PARTICIPANTS: CRS patients with nasal polyposis who have predominantly isolated symptoms of nasal obstruction with or without olfactory loss. MAIN OUTCOME MEASURES: Incremental cost per quality adjusted life year (QALY). RESULTS: Over a time period of 30 years, the reference case demonstrated that the ESS strategy cost a total of $21,345 and produced 13.17 QALYs while the EPIC strategy cost a total of $5591 and produced 12.93 QALYs. The ESS versus EPIC incremental cost-effectiveness ratio was $65,641/QALY. The probability that EPIC is cost-effective compared to ESS at a maximum willingness-to-pay threshold of $30,000 and $50,000/QALY is 66% and 60%, respectively. CONCLUSIONS: Outcomes from this study have demonstrated that the EPIC procedure may be a cost-effective treatment strategy for 'select' patients with nasal polyposis. Data from this study were obtained from a small pilot trial, and we feel the results warrant a future randomised controlled trial to strengthen the outcomes.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it