← Back to Clinical Trials
Recruiting NCT07247279

NCT07247279 Epidemiological Study of Treatment Approaches in AChR-Antibody Positive Generalized Myasthenia Gravis in Russia

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT07247279
Status Recruiting
Phase
Sponsor AstraZeneca
Condition Rare Diseases
Study Type OBSERVATIONAL
Enrollment 450 participants
Start Date 2025-12-23
Primary Completion 2029-12-31

Trial Parameters

Condition Rare Diseases
Sponsor AstraZeneca
Study Type OBSERVATIONAL
Phase N/A
Enrollment 450
Sex ALL
Min Age 18 Years
Max Age N/A
Start Date 2025-12-23
Completion 2029-12-31

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

Brief Summary

This is a multicenter, non-interventional, retrospective-prospective, single-arm observational study designed to describe real-world treatment approaches and clinical outcomes among adults with acetylcholine receptor (AChR) antibody-positive generalized myasthenia gravis (gMG) in routine clinical practice in Russia.

Eligibility Criteria

Inclusion Criteria: 1. Adults (≥18 years) diagnosed with generalized MG positive for acetylcholine receptor (AChR) antibodies. 2. Provision of signed and dated written informed consent. Exclusion Criteria: 1. Participants currently enrolled in clinical studies for treatment of gMG. 2. Ocular MG only.

Related Trials

Related Intelligence Guides

In-depth guides covering this condition's trials, eligibility, and what to expect.

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology