Can a Food-Focused program help kidney patients? new study aims to find out
NCT ID NCT07518719
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether a 12-week nutrition and kidney health program, called THINK-Well, works well for adults with chronic kidney disease. The program includes group nutrition classes, cooking practice, and food bucks to buy healthy foods. Researchers want to see how many people join, finish, and like the program, and whether it improves heart health scores.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- nutrition education sessions with food bucks and dietitian consultation
- What this could lead to
- If successful, this could show that a community-designed nutrition program is feasible and acceptable for people with kidney disease, paving the way for larger studies.
- What could go wrong
- This is a small, early feasibility study with only 45 participants, so results may not apply broadly. The program may not improve health outcomes or be sustainable long-term.
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
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UPMC Kidney Clinic - Monroeville
RECRUITINGPittsburgh, Pennsylvania, 15146, United States
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UPMC Kidney Clinic - Oakland
RECRUITINGPittsburgh, Pennsylvania, 15213, United States
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UPMC Kidney Clinic - Shadyside
RECRUITINGPittsburgh, Pennsylvania, 15232, United States
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UPMC Kidney Clinic - Wexford
RECRUITINGPittsburgh, Pennsylvania, 15090, United States
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UPMC Matilda H. Theiss Health Center
NOT_YET_RECRUITINGPittsburgh, Pennsylvania, 15219, United States
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Other studies related to the condition(s) this trial covers.
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- Food as medicine: could cooking classes slow kidney disease?
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- A new pill aims to slow kidney failure and save lives
- AI takes on kidney disease: a new model to forecast Who's at risk