Bibliographic record
Abstract
Evidence from 3 clinical trials (2 in adolescent and adult patients with seasonal allergic rhinitis and 1 in children with seasonal allergic rhinitis) demonstrated that Ryaltris improved nasal and eye symptoms in people with seasonal allergic rhinitis compared to placebo. However, compared to mometasone nasal spray, the improvements were not clinically meaningful in adolescents and adults, and there was no comparative evidence available in children. The indirect evidence evaluated the comparative efficacy of Ryaltris versus intranasal corticosteroids and oral antihistamines in adolescent and adult patients, and versus intranasal corticosteroids in children. There were limitations in the indirect evidence that precluded meaningful conclusions on the efficacy of Ryaltris relative to active comparators in adolescent and adult patients or in children with seasonal allergic rhinitis. Patients identified a need for new treatments that control the symptoms of seasonal allergic rhinitis and improve their quality of life. However, based on the evidence reviewed during the initial meeting and the reconsideration meeting, the Canadian Drug Expert Committee (CDEC) could not determine whether Ryaltris would address the unmet needs of patients because of the uncertainty around the benefit of Ryaltris versus appropriate active comparators.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".