Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Efficacy and Safety of Inhaled AZD1402 Administered for Four Weeks in Adults With Asthma on Medium-to-High Dose Inhaled Corticosteroids

AstraZeneca · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
Open Source ↗
asthmaefficacyplacebosafety
This is a randomised, placebo-controlled, double-blinded, multi-centre, 2-part study to assess the efficacy and safety of inhaled AZD1402. Part 1 will be performed in a Lead-in Cohort for each dose level to evaluate the safety and pharmacokinetics (PK) in a population with asthma controlled on medium dose inhaled corticosteroids (ICS)-long acting beta agonists (LABA) before progressing to dosing in adults with asthma who are uncontrolled on medium-to-high dose ICS-LABA in Part 2. The study will recruit participants receiving treatment with medium dose ICS with LABA for Part 1 and participants receiving treatment with medium-to-high dose ICS with LABA for Part 2 (separate inhalers or combination product). Part 2 will be initiated following evaluation of safety and PK at the relevant dose level in Part 1a. The entire study period for each participant in both Parts 1 and 2, is approximately 3.5 months; a 2-week Screening Period, a 4 week Run-in Period, 4 weeks of Treatment Period, and 4 weeks of Follow-Up Period.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 842687
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive