Experience with bilastine in the management of urticaria: Original Real-world cases of Bilastine In Treatment (ORBIT) in Asia
Bibliographic record
Abstract
Urticaria is a disabling condition, resulting in an impaired quality of life and sleep disruption, and can have an adverse impact on work-related or school-related performance and attendance.It is defined according to the presence of unknown (chronic spontaneous urticaria) or known (inducible urticaria) eliciting factors.Guidelines recommend secondgeneration H 1 -antihistamines for the first-line treatment of urticaria.Bilastine is indicated in adults, adolescents (aged ≥12 years) and children (aged ≥2 years (Mexico and some African countries), ≥4 years (Canada) or ≥6 years (Europe)) with a body weight of at least 20 kg for the symptomatic treatment of urticaria and allergic rhino-conjunctivitis.The aim of the Original Real-world cases of Bilastine In Treatment (ORBIT) study was to review real-world cases from across the Asia-Pacific region supported by evidence-based literature.Eight diverse, real-world, difficult-to-treat cases with urticaria in people aged 10-75 years are presented.Once-daily bilastine (20 mg (adults/adolescents) or 10 mg (children)) was found to be well tolerated and effective in the long-term management of chronic spontaneous urticaria and inducible urticaria.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".