Perioperative adjuvant therapy with short course of dupilumab with ESS for recurrent CRSwNP
Bibliographic record
Abstract
BACKGROUND: Chronic rhinosinusitis with nasal polyposis (CRSwNP) is associated with a high rate of disease recurrence following endoscopic sinus surgery (ESS). Type 2 disease is associated with a higher incidence of recurrence and is believed to impact disease resolution via interference with epithelial healing and pathogen immunity. We wished to verify if perioperative control of Type 2 inflammation with an anti-IL4/IL13 targeting monoclonal antibody and during the resolution period following surgery leads to better control of the disease long term. METHODS: In this prospective, placebo-controlled, double-blinded trial. Thirty adult subjects with recurrent CRSwNP underwent ESS plus or minus 14 weeks of perioperative dupilumab, initiated 4 weeks (two injections) pre-ESS. Subjective and objective parameters of nasal patency, olfaction, quality of life (QoL), and adverse events were monitored up to 52 weeks post-ESS. Microbiological culture was performed to characterize pathogens colonization under both conditions. RESULTS: ESS safely improved subjective and objective measures of nasal patency, olfaction, and QoL in both groups. Olfaction was conserved longer in the dupilumab-treated group, with 33.3% of subjects presenting anosmia at 12 months after ESS in the dupilumab group compared to 50.0% with placebo. This was associated with persistent decreases in serum IgE, which were not seen with placebo treatment. No unusual safety signals were observed. CONCLUSION: Short-course adjuvant perioperative treatment with dupilumab is associated with improved long-term olfactory outcomes and persistent lowering of serum IgE.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".