Diabetic Retinopathy Real-World Data

1 in 4 Americans over 40 with diabetes have diabetic retinopathy.
Qdata® can help improve their treatment.

Qdata Diabetic Retinopathy is an exclusive dataset of millions of patients with a detailed view of the patient journey including disease progression to diabetic macular edema (DME), anti-VEGF treatment details, and more.

Key Data Elements

Visual Acuity

Central Subfield Thickness (CST)

By the Numbers

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Total de-indentified patients with diabetic retinopathy (without DME)
M+
Total de-identified patients with diabetic retinopathy with DME
yrs
Average length of follow-up for diabetic retinopathy patients

About Qdata® Diabetic Retinopathy

Diabetic retinopathy is a complication of diabetes caused by high blood sugar damaging the blood vessels in the retina (the light-sensitive tissue at the back of the eye). If left untreated, it can lead to swelling, leaking, or abnormal vessel growth, ultimately resulting in vision loss or blindness.

Qdata Diabetic Retinopathy is curated data from the IRIS Registry to give researchers a detailed view of the patient journey including disease progression to diabetic macular edema (DME), anti-VEGF treatment patterns and outcomes and more.

Qdata Diabetic Retinopathy by Verana Health is a research-ready, fit-for-purpose data module that can be used to inform disease progression, unlocking valuable insights across the clinical and drug development cycle.

Evidence in Action

Exclusive Diabetic Retinopathy Therapeutic Insights

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

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Comprehensive View into the Patient Journey

Key variables including visual acuity and CST

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Detailed View of Anti-VEGF Treatment

Across diabetic retinopathy and DME patients

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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 Diabetic Retinopathy Dataset?

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