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Record W4293148596 · doi:10.1055/s-0042-1747718

Efficacy of Tezepelumab in Patients with Moderate-to-Severe Uncontrolled Asthma: A Pooled Analysis of the Phase 2b PATHWAY and Phase 3 NAVIGATOR Studies

2022· article· en· W4293148596 on OpenAlexaff
Jonathan Corren, A Menzies-Gow, C Ambrose, W Cook, A Hellquist, S Roseti, N Molfinao, J P Lanos-Ackert, G Colice

Bibliographic record

VenuePneumologie · 2022
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsAmgen (Canada)
Fundersnot available
KeywordsThymic stromal lymphopoietinMedicineAsthmaPost hocMonoclonal antibodyPost-hoc analysisPooled analysisPhase (matter)Internal medicineImmunologyAntibodyMeta-analysis

Abstract

fetched live from OpenAlex

Rationale Tezepelumab, a human monoclonal antibody, blocks thymic stromal lymphopoietin (TSLP). This post hoc analysis was designed to evaluate the efficacy of tezepelumab with increased precision in subgroups of patients with moderate-to-severe, uncontrolled asthma using pooled data from the phase 2b PATHWAY and phase 3 NAVIGATOR studies. Methods PATHWAY (NCT02054130) and NAVIGATOR (NCT03347279) were multicenter, randomized, double-blind, placebo-controlled studies with similar designs. Patients with moderate-to-severe, uncontrolled asthma who received tezepelumab 210 mg or placebo subcutaneously every 4 weeks for 52 weeks were included in this pooled analysis. The primary endpoint was the annualized asthma exacerbation rate (AAER) over 52 weeks. Results Overall, 1334 patients were included (tezepelumab, n=665; placebo, n=669). Tezepelumab reduced the AAER versus placebo by 60% (95% CI, 52-66) overall; by 48% (95% CI, 26-64) and 63% (95% CI, 54-70) in patients with baseline blood eosinophil counts <150 cells/µL and ≥150 cells/µL (assessed centrally), respectively; by 40% (95% CI, 21-54) and 70% (95% CI, 62-76) in patients with baseline FeNO levels <25 ppb and ≥25 ppb, respectively; and by 62% (95% CI, 53-70) and 54% (95% CI, 38-66) in those who were positive or negative for allergy to perennial aeroallergens, respectively. Among all included patients, tezepelumab reduced the annualized rate of exacerbations that required hospitalization or an emergency department visit by 79% versus placebo (95% CI: 65-87). Safety findings were similar between treatment groups. Conclusions Tezepelumab reduced exacerbations in a broad population of patients with moderate-to-severe, uncontrolled asthma, and substantially reduced exacerbations that required hospitalization or an emergency department visit versus placebo. Acknowledgments Medical writing support was provided by Madeleine Wynn, MRes, of PharmaGenesis London, London, UK, with funding provided by AstraZeneca and Amgen Inc. Publication History Article published online: 11 May 2022 © 2022. Thieme. All rights reserved. Georg Thieme Verlag Rüdigerstraße 14, 70469 Stuttgart, Germany

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 imitation

Not 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.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.013
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.305
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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