The subtle nuances of intranasal corticosteroids
Bibliographic record
Abstract
BACKGROUND: In the specialty of Otolaryngology - Head and Neck Surgery, intranasal corticosteroids are the mainstay treatment for inflammatory processes within the nasal cavity. All too often, physician prescribing patterns are based on previous training, personal experience, and interactions with industry. The purpose of this commentary is to review the nuances of each intranasal corticosteroid. COMMENTARY: There are nine intranasal corticosteroids approved for use in Canada. Each are discussed in detail, including their indication, bioavailability, effects on intranasal environment, and factors around patient adherence. Off-label use of budesonide irrigations is also discussed and cost information is presented in reference format for all available intranasal corticosteroids. CONCLUSION: Although the efficacy of each intranasal corticosteroid has been shown to be similar, prescribing should be tailored based on bioavailability, intranasal environment, and factors that impact patient adherence such as dosing, cost and tolerability.
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 | 0.007 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.012 | 0.018 |
| Insufficient payload (model declined to judge) | 0.003 | 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".