Predicting kidney trouble in older adults: a data-driven approach to clearer lab results

NCT ID NCT06995365

Not yet recruiting Knowledge-focused Sponsor: University of California, Los Angeles Source: ClinicalTrials.gov ↗

First seen Jul 24, 2026 · Last updated Jul 24, 2026

Summary

Researchers are refining a computer model that estimates the risk of chronic kidney disease progression in adults over 65. Using existing health records from 18,000 patients, the study aims to make the model more accurate and easier for doctors to explain. No new treatments are being tested — the goal is better communication of lab results.

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 the model proves accurate, it could help doctors communicate kidney disease risk more clearly to older patients and may be adapted for other conditions.
What could go wrong: This is a retrospective data analysis, not a clinical trial of a treatment. The model may not work as well in real-world settings or for diverse populations.

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.

chronic kidney disease

As listed by the trial registrant

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

PREDICTIVE MODELING

Contacts and locations

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Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••

Locations

UCLA Health System

Los Angeles, California, 90024, United States

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