Treatment alternatives for chronic rhinosinusitis persisting after ESS: what to do when antibiotics, steroids and surgery fail.
Bibliographic record
Abstract
BACKGROUND: It is estimated that over 500,000 individuals in the United States currently suffer from chronic rhinosinusitis (CRS), which has persisted or recurred despite maximal medical therapy and endoscopic sinus surgery (ESS). Management of these individuals remains uncertain, as recent published guidelines on CRS do not extend to this population. OBJECTIVE: Our objective is to provide a framework for the management of patients who fail standard therapy for CRS while providing recommendations based on the strength of the evidence for alternative medical therapies that can be used for the treatment of recurrent CRS. This guideline targets ENT physicians and allergists managing this increasingly frequent clinical situation and attempts to assist them in selecting from the increasing array of potential therapies available. To this end, factors contributing to the pathophysiology of post-ESS CRS are reviewed to identify method of action of existing and potential therapies and recommendations are made for their use. RESULTS: Given the accessibility of the sinus cavities after ESS, topical therapies are privileged. Saline spray or irrigation is recommended for all patients. Corticosteroids in oral or topical forms are recommended for controlling the inflammatory component, while the use of a short term course of oral or topical antibiotics are recommended mainly for the treatment of exacerbations. Long-term therapy with oral macrolides is also recommended as an alternative therapy. Desensitization with acetylsalicylic acid (ASA) for individuals with documented ASA sensitivity is recommended where available, while revision surgery, anti-leukotriene agents and intravenous immunoglobulins are options in management in selected patients. Antifungal therapy is not recommended. No recommendations for potentially experimental strategies are made in the absence of published experience and safety data in human subjects.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".