Tezepelumab for the treatment of chronic spontaneous urticaria: Results of the phase 2b INCEPTION study
Bibliographic record
Abstract
BACKGROUND: Tezepelumab, an mAb inhibiting thymic stromal lymphopoietin, is an upstream-targeted therapy with potential to inhibit multiple pathways in chronic spontaneous urticaria (CSU). OBJECTIVE: antihistamines. METHODS: This phase 2b study randomized 183 patients (125 anti-IgE therapy-naive; 58 anti-IgE therapy-experienced) to placebo every 2 weeks, tezepelumab 210 mg every 4 weeks, tezepelumab 420 mg every 2 weeks, or omalizumab 300 mg every 4 weeks (anti-IgE-naive only) for 16-week treatment. The primary end point was change from baseline in weekly Urticaria Activity Score (UAS7) at week 16. Safety and exploratory end points were evaluated through week 32. RESULTS: The 16-week primary end point was not met. In the overall population, tezepelumab 210 mg and 420 mg did not significantly improve UAS7 versus placebo (least squares mean [SE]: -13.5 [1.6] and -14.7 [1.5], respectively, vs -13.6 [1.6], P = .99, nominal and P = .60, nominal, respectively). Greater improvement in UAS7 versus placebo was observed in the anti-IgE-naive tezepelumab-treated populations (nominal significance); a trend toward significance was observed with omalizumab. In the anti-IgE-naive population, there was delayed, sustained, 32-week off-treatment improvement in UAS7 versus placebo with tezepelumab 210 mg (nominally significant) and 420 mg (trend), but not with omalizumab. This effect was larger in patients with lower baseline IgE levels and longer CSU duration and accompanied sustained IL-5 and IL-13 reductions. Tezepelumab and placebo safety findings were balanced. CONCLUSION: Although the 16-week primary end point was not met, tezepelumab showed post-treatment reductions in CSU activity through week 32, suggesting a delayed, sustained, thymic stromal lymphopoietin blockade treatment effect.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".