Cure My Disease

Don't miss your cure!

 Log in / Sign up

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

NCT ID NCT06995365

Knowledge-focused Sponsor: University of California, Los Angeles Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 18,000 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Sep 2026

An estimate. Start dates often move.

Expected to finish

Mar 2028

An estimate. End dates often move.

Lead sponsor

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

Adults aged 65 and older who received care within the UCLA or UC Health system, have at least 5 years of clinical follow-up, and have had a serum creatinine test. Data are drawn from existing electronic health records.

Ages

65 years and older

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria include, but are not limited to: * being over the age of 65; having at least 5 years of clinical follow up; and having a serum creatinine lab test conducted Exclusion Criteria: * Patients younger than 65 years old * Patients with less than 5 years of clinical follow-up * Patients from health systems outside of the UC Health network.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Chronic kidney disease are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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.

Contacts and locations

Locations

  • UCLA Health System

    Los Angeles, California, 90024, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.