Case-control study of endoscopic polypectomy in clinic (EPIC) versus endoscopic sinus surgery for chronic rhinosinusitis with polyps
Bibliographic record
Abstract
INTRODUCTION: Endoscopic Polypectomy In Clinic (EPIC) is a recently described deescalated form of endoscopic sinus surgery (ESS) performed in the outpatient clinic for patients with chronic rhinosinusitis with polyps (CRSwNP). The quality of life benefit of EPIC in comparison to ESS is not known. The purpose of this study was to determine if the disease specific quality of life measured with the SNOT-22 attained with EPIC is similar to that attained with ESS for patients with CRSwNP. METHODS: A multi-institutional observational case-control study was performed to evaluate quality of life improvement in patients treated with ESS and EPIC for CRSwNP with a 3 month follow-up. Predicted probability of undergoing EPIC was calculated by fitting a logistic regression model using clinically relevant variables. EPIC patients were matched to ESS patients in a 1:1 fashion. RESULTS: 24 pairs were analyzed after matching. There was no statistical difference in the post-treatment SNOT-22 scores or proportion of patients achieving a minimal clinically important difference. CONCLUSIONS: In appropriate CRSwNP patients, the EPIC procedure may provide disease specific quality of life improvement similar to that seen with patients who undergo traditional ESS.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".