Steroid‐eluting sinus implant for in‐office treatment of recurrent nasal polyposis: a prospective, multicenter study
Bibliographic record
Abstract
BACKGROUND: Treatment options for chronic rhinosinusitis with recurrent polyposis (CRSwNP) after endoscopic sinus surgery (ESS) are limited, and include frequent use of systemic steroids and revision surgery. A bioabsorbable, steroid-eluting implant was studied for its ability to dilate sinuses obstructed by polyps and provide localized, controlled steroid delivery to reestablish sinus patency. This study assessed the initial feasibility, safety, and efficacy of steroid-eluting implants placed in the office setting in patients who were candidates for revision ESS. METHODS: Prospective, multicenter study enrolling 12 patients who had prior ESS but experienced recurrent polyposis refractory to medical therapy. Implants were placed bilaterally under topical anesthesia in-office. Follow-up through 6 months included endoscopic grading, patient-reported outcomes (22-item Sino-Nasal Outcomes Test [SNOT-22]) and need for revision ESS. RESULTS: Implants were successfully inserted in 21 of 24 (88%) ethmoid sinuses, resulting in 11 evaluable patients. No serious adverse events occurred. Within 1 month, mean bilateral polyp grade was reduced from 4.5 at baseline to 2.3 (p = 0.008) and sustained through 6 months (2.33; p = 0.008). Mean SNOT-22 score was significantly improved from 2.19 at baseline to 0.90 within 1 month (p = 0.001) and sustained to 6 months (1.03; p = 0.012). Sixty-four percent of patients were no longer revision ESS candidates at 6 months. CONCLUSION: The study provided initial clinical evidence of the feasibility, safety, and efficacy of in-office steroid-eluting implant placement in CRS patients with recurrent polyposis after ESS. Although further studies are needed, the results suggest this therapy may provide a safe and effective, office-based option for the treatment of obstructive polyposis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".