AI-Powered trial asks: does adding a second drug cut heart failure risk?
NCT ID NCT07719621
First seen Jul 22, 2026 · Last updated Aug 20, 2026 · Updated 3 times
Summary
This study uses computer simulations to compare two treatment strategies for people with chronic kidney disease and type 2 diabetes. Researchers will model whether adding empagliflozin to finerenone reduces heart failure, hospitalizations, and cardiovascular death more than finerenone alone. No human participants are involved — artificial intelligence recreates a large virtual population based on real clinical data.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- a combination of finerenone and empagliflozin
- What this could lead to
- If the combination outperforms finerenone alone, it could point to a more effective treatment strategy for preventing heart failure in people with kidney disease and diabetes.
- What could go wrong
- This is a computer simulation, not a real-patient trial, so results may not fully reflect real-world outcomes. The findings depend on the accuracy of the underlying data and assumptions.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 50,000 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Sep 2026
An estimate. Start dates often move.
- Expected to finish
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Nov 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
A massive synthetic cohort (N = 50,000 to 100,000 virtual subjects) will be structured and parameterized to faithfully reproduce the characteristics of the reference population, using a four-phase instantiation framework designed to ensure biological plausibility. Each virtual patient will be cloned to experience both treatment trajectories simultaneously, acting as their own absolute control and eliminating inter-individual variability bias.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: The same characteristics of the reference population: CONFIDENCE trial (NCT05254002). In brief: * Patients with chronic kidney disease (eGFR 30-90 ml/min/1.73 m²) * Persistent albuminuria (UACR 100-5000 mg/g) * Type 2 diabetes mellitus (T2D) under stable blockade of the renin-angiotensin system (ACEi/ARB) Exclusion Criteria: The same characteristics of the reference population: CONFIDENCE trial (NCT05254002). In brief: * Participants with type 1 diabetes (T1D). * Participant with hepatic insufficiency classified as Child-Pugh C. * Participants currently treated or who were treated with Finerenone (Kerendia©) within 8 weeks prior to the screening visit.
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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Other studies related to the condition(s) this trial covers.
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