SMA is a Rare, Inherited Disease.

Qdata® Can Help Find These Rare Patients for Your Trial.

Qdata SMA is a real-world dataset reflective of nearly 300 spinal muscular atrophy (SMA) patients with curated variables such as SMA subtype, ambulatory status, and motor score to help you identify clinical trial participants and better understand their journey.

About Qdata

Qdata® by Verana Health are research ready, fit-for-purpose data modules designed to confidently drive business insights and inform research outcomes. Qdata spans ophthalmology, neurology, and urology to help unlock quality insights across the entire drug and device development cycle.

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Exclusive Insights into the SMA Population

Only found here from the American Academy of Neurology Axon Registry®


Standardized, Clinically Validated SMA-specific Data

Key variables have been curated and validated from clinician notes

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Real-world View of the SMA Patient Journey

Understand SMA disease progression and treatment from EHR and claims


By the Numbers


Total de-identified patients with SMA*

~ Years

Average length of follow-up for total patients

*1+ clinical note in the Axon Registry and 1+ claim in the Komodo Health Database. Data current to April 2023.

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Meet with a Qdata Expert or Request a Data Count

Key Variables in Qdata SMA

Curated variables extracted from EHR data to be utilized based on your research needs.

SMA Subtype

SMN2 Copy Number

Respiratory Status

Ambulatory Status

Motor Strength Score

Unstructured Data Enables Deeper Understanding

Verana Health applies clinician-informed algorithms to unstructured EHR data at scale to help extract key information SMA subtype, SMN2 copy number, ambulatory status and more.

This can give life sciences companies unprecedented insights into the journey of patients with SMA or help identify patients for their next clinical trial.


of Medical Data Remains Unstructured


Talk to a Qdata Expert

Take a minute to submit your contact information and one of our team members will reach out to you.