New intranasal formulations for the treatment of allergic rhinitis
Bibliographic record
Abstract
Intranasal corticosteroids (INSs) have been effectively used for >40 years for the treatment of seasonal allergic rhinitis (SAR) and perennial AR (PAR). Following the Montreal Protocol, the initial aerosol formulations using chlorofluorocarbon (CFC) propellants were phased out. For the past 20 years, aqueous solutions have been the only available option for INS treatment. In 2012, the U.S. Food and Drug Administration approved two new nonaqueous aerosol AR treatments that use a hydrofluoroalkane (HFA) propellant. In 2012, the first intranasal aqueous combination product was also approved. This article reviews the clinical profiles of HFA beclomethasone dipropionate (BDP) and HFA ciclesonide (CIC) and the aqueous combination intranasal antihistamine (INA)/INS formulation of azelastine hydrochloride/fluticasone propionate (AZE/FP). The medical literature was searched for clinical trials investigating the use of BDP, CIC, and AZE/FP in SAR and PAR. Clinical trials involving aqueous solutions and CFC propellant or HFA propellant delivery were included. Data from prescribing information and published efficacy and safety data were presented as part of the clinical profile for the reviewed agents. AZE/FP has shown efficacy and safety comparable or greater with the current AR treatment options. Although efficacy comparisons of new HFA formulations have not been investigated in head-to-head clinical trials with aqueous formulations, HFA formulations have shown similar efficacy rates. Furthermore, HFA formulations may have some additional benefits, including a preferable sensory profile for some patients. These new formulations will provide additional options for clinicians and patients to better individualize therapy for control of AR.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.006 | 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".