The burden of systemic corticosteroids in patients with chronic rhinosinusitis with nasal polyps
Bibliographic record
Abstract
Background: Systemic corticosteroids (SCS) are widely used to treat patients with chronic rhinosinusitis with nasal polyps (CRSwNP) that is insufficiently controlled with first-line treatments. However, such treatment must be balanced against the risk of adverse effects with protracted or repeated use. Increasing awareness of these adverse effects and the introduction of biologics are changing established management approaches. Objective: The objective was to review the role of SCS in the management of CRSwNP in the evolving treatment landscape. Methods: A literature search was conducted for salient articles on SCS in CRSwNP, including guidelines. Results: SCS reduce inflammation through broad actions on various immune mediators. Short courses of SCS improve symptoms (especially olfactory function) and reduce polyp size, benefits that do not persist long-term after treatment ends. SCS are widely used before endoscopic sinus surgery to improve the visibility of the surgical field and after surgery to improve outcomes, although evidence for benefit of postsurgical SCS is lacking. Adverse effects associated with SCS can manifest in a wide range of organs and systems. Use of SCS in patients with CRSwNP is associated with an increased risk of avascular necrosis, pneumonia, obesity, anxiety and/or depression, fracture, sleep apnea, hypothalamic-pituitary-adrenal axis suppression, diabetes, and hypertension. The SCS dosage regimen for CRSwNP is not well defined, and there is wide variation in clinical practice. Clinical guidelines refer to “short courses” of SCS but provide minimal guidance and lack consensus. Biologic treatments for CRSwNP have well-documented steroid-sparing effects, but the extent to which biologics might be able to reduce the use of or replace SCS may depend on economics as well as relative benefit-to-risk ratios. Conclusion: Short courses of SCS are widely used in patients with CRSwNP, but their use must be balanced against the risk of adverse effects. Use of biologics may reduce the use of SCS in CRSwNP, minimizing these adverse effects.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".