SQ house dust mite sublingual immunotherapy tablet subgroup efficacy and local application site reaction duration
Bibliographic record
Abstract
BACKGROUND: Allergic rhinitis with or without conjunctivitis (AR/C) is common, necessitating evaluation of SQ house dust mite (HDM) sublingual immunotherapy (SLIT)-tablet efficacy in various subgroups. OBJECTIVE: To evaluate 12 SQ-HDM efficacy and safety across subgroups, and the onset, duration, and recurrence of local application site reactions. METHODS: Subgroup (age, sex, race, asthma status, and allergen sensitization) efficacy was assessed using pooled data from 2 previously described trials of daily 12 SQ-HDM vs placebo for AR/C (n = 2,138). Efficacy was measured by average total combined rhinitis score (TCRS; rhinitis daily symptom plus medication score) during the last 8 weeks of treatment. Safety in subgroups and local application site reaction onset, duration, and recurrence were evaluated using pooled data from 5 previously described trials of SQ HDM SLIT-tablet (n = 2,923). RESULTS: Significant (based on 95% confidence intervals [CIs]) reduction in TCRS was seen with 12 SQ-HDM relative to placebo across all subgroups, with TCRS improvements ranging from 15% to 25%. The AE profile was generally similar within subgroups. Approximately 95% of local application site reactions were mild to moderate in severity. Median duration on day 1 of treatment for the most common local application site reactions (throat irritation, oral pruritus, ear pruritus, and lip swelling) ranged from 30 to 60 minutes; median first day of onset ranged from days 1 to 4 of treatment; median days that reactions recurred ranged from 3 to 12 days. CONCLUSION: Treatment with 12 SQ-HDM consistently improved symptoms and was well tolerated in relevant subgroups of subjects with HDM AR/C. Local application site reactions to 12 SQ-HDM were typically mild to moderate and transient.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".