Real-World data mimics heart trial for diabetes drugs
NCT ID NCT07088718
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This completed study tested whether healthcare claims data can predict the results of a major heart trial (SURPASS-CVOT) comparing two diabetes drugs, tirzepatide and dulaglutide. Researchers analyzed records from over 44,000 people with type 2 diabetes and heart disease to see if real-world data could reliably mimic the trial's findings. The goal is to understand when real-world data can be trusted for clinical research.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- tirzepatide and dulaglutide
- What this could lead to
- If successful, this could show that analyzing real-world patient data can reliably predict the outcomes of large clinical trials, potentially speeding up future research.
- What could go wrong
- This is an observational study using existing data, not a controlled experiment. Results may not perfectly match the original trial due to differences in patient populations or data quality.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Brigham and Women's Hospital
Boston, Massachusetts, 02120, United States
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