Mining mountains of data to outsmart diabetes complications

NCT ID NCT07731399

Recruiting now Knowledge-focused Sponsor: Guardian Research Network, Inc. Source: ClinicalTrials.gov ↗

First seen Jul 28, 2026 · Last updated Jul 30, 2026 · Updated 2 times

Summary

This study is collecting blood, stool, genetic information, and health records from 1,200 Medicaid patients in South Carolina — some with type 2 diabetes and some without. Researchers will analyze this data to find patterns that could predict chronic kidney disease, a common complication of diabetes. The goal is to improve early detection and eventually develop better strategies to prevent or reverse diabetes-related health problems.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could help doctors predict kidney disease earlier in people with type 2 diabetes and point toward new ways to prevent or treat it.
What could go wrong: This is an observational study, not a treatment trial, so it will not directly test any therapy. The findings may take years to translate into practical changes in care.

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.

type 2 diabetes mellitus

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEALTHY CONTROLS TYPE 2 DIABETES

Contacts and locations

Locations

Clemson Health Clinic at Orangeburg
RECRUITING

Orangeburg, South Carolina, 29118, United States
Clemson Health Clinic at Walhalla
RECRUITING

Walhalla, South Carolina, 29691, United States

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