ClinicalTrials.gov
public full text
Public Domain
Initial Clinical Presentation of Inflammatory Optic Neuritis Associated or Not With Autoantibodies Anti-Myelin-oligodendrocyte-glycoprotein
In eight ophthalmic units, the investigator will include all inflammatory optic neuritis (ON) during acute phase and rank them in two groups: 1/ ON with autoantibodies anti-myelin-oligodendrocyte-glycoprotein (ON MOG+) 2/ ON MOG-. The investigators will measure incidence of MOG-Ab in our prospective population of inflammatory ON. Then the investigator will compare clinical and radiological presentation of ON MOG+ versus ON MOG-.
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
- Acute Optic Neuritis Network: an International Study That Invesitages Subjects With a First-ever Episode of Acute Inflammation of the Optic Nerve#846176
- OCS-05 in Patients With Optic Neuritis#842999
- The glycosylation site of myelin oligodendrocyte glycoprotein affects autoantibody recognition in a large proportion of patients#955556
- Treatment of Optic Neuritis With Erythropoietin: a Randomised, Double-blind, Placebo-controlled Trial#1294556
- Clinical Monitoring, MRI and Neuro-Ophthalmology of a Cohort of Patients With a Clinically Isolated Syndrome (CIS)#862885
Record · ID 1395145
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive