Glaucoma Real-World Data

Glaucoma is the second leading cause of blindness worldwide.
Qdata® can help advance glaucoma treatment.

Qdata® Glaucoma is an exclusive dataset reflective of de-identified U.S. patients with curated glaucoma-specific outcome measures, such as intraocular pressure (IOP) and procedure details.

Key Data Elements

Intraocular Pressure

MIGS Device Brand

Visual Acuity

Medication

By the Numbers

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Total de-indentified patients with glacuoma
M+
Total de-indentified patients with glacuoma
K+
Patients with glaucoma who received MIGS procedures
K+
Patients with glaucoma who received MIGS procedures
yrs
Average length of follow-up for glaucoma patients
yrs
Average length of follow-up for glaucoma patients

About Qdata® Glaucoma

Glaucoma is a condition that occurs when fluid builds up in the eye, increasing pressure and eventually damaging the optic nerve. Patients with glaucoma may not have symptoms early on, making it challenging to identify the disease. As it progresses, however, patients can experience blind spots in their peripheral vision, and eventually, total vision loss.

Glaucoma medical research becomes more and more important. With millions of Americans struggling with glaucoma, Qdata® Glaucoma can supplement medical research and provide meaningful answers to accelerate therapy development.

Verana Health provides glaucoma real-world data to inform researchers of specific insights to drive better patient outcomes. Through this data, real-world evidence can help life science companies in shaping therapeutic strategies.

Evidence in Action

Exclusive Glaucoma Therapeutic Insights

Only found here from the IRIS Registry® (Intelligent Research in Sight).

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High-quality Glaucoma Outcomes Data

Curated glaucoma-specific outcome measures for analysis, such as IOP

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Most Comprehensive View of Glaucoma Patient Journey

A deeper view into treatment details, including MIGS brands that share codes.

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Custom Data Curation

Need data tailored to your exact study design requirements?

Our purpose-built, fit-for-purpose datasets are designed to support rigorous research and confident decision-making. These datasets can be tailored
around custom inclusion and exclusion criteria, in addition to including all standard abstracted data elements.

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Ready to Explore the Glaucoma Dataset?

Connect with our team to discuss your research objectives and receive a tailored data overview.