Medical Information Only. Always consult your healthcare provider before enrolling in any clinical trial.
NCT06995365 · ClinicalTrials.gov registry record
Refining Risk Prediction Models for Older Adults Using Electronic Health Records
A clinical trial, sponsored by University of California, Los Angeles.
- Not yet
- Registry status
- 18,000
- Enrollment target
NCT06995365: Clinical Trial study, sponsored by University of California, Los Angeles.
NCT06995365 is a clinical trial that has not yet begun recruiting, run by University of California, Los Angeles. The registered enrollment target is 18,000 participants. According to ClinicalTrials.gov, the official US trial registry.
The verdict
NCT06995365 has not yet begun recruiting, sponsored by University of California, Los Angeles.
- NOT YET RECRUITING
- Registry status
- 18,000 participants
- Enrollment target
Study Summary
This study aims to improve how lab results are communicated to older adults by refining a predictive model that uses electronic health record (EHR) data. The model was originally developed to estimate the risk of chronic kidney disease (CKD) progression. Researchers will use existing health data to test and improve the accuracy of the model and explore how it might be adapted for use in other health conditions. The study does not involve direct interaction with patients and is conducted entirely using de-identified data in a secure environment.
Primary Outcome
Evaluate the predictive performance of a machine learning-based risk model using retrospective Electronic Health Records (EHR) data. The model estimates the likelihood of disease progression in older adults. The model should be designed to be adaptable to various clinical conditions. Metrics include Area Under the Receiver Operating Characteristic Curve (AUC-ROC), sensitivity, and specificity.
Interventions
- OTHER Risk Prediction Model
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 18,000 participants |
| Start Date | 2025-08 |
| Est. Completion | 2026-03 |
What is known before NCT06995365 opens enrollment
NCT06995365 is an observational study that tracks outcomes without assigning an intervention. Its 18,000 participants enrollment target places it among the larger protocols in the corpus.
The record links to 0 conditions, and to 1 intervention - of which Risk Prediction Model is the first listed.
NCT06995365 does not publish any study locations in the registry export this page uses.
Frequently Asked Questions
What is clinical trial NCT06995365 about?
NCT06995365 is a clinical study titled "Refining Risk Prediction Models for Older Adults Using Electronic Health Records". This study aims to improve how lab results are communicated to older adults by refining a predictive model that uses electronic health record (EHR) data. The model was originally developed to estimate the risk of chronic kidney disease (CKD) progression. Researchers will use existing health data to ...
What is the current status of trial NCT06995365?
This trial is currently not yet recruiting. The enrollment target is 18,000 participants. The study started on 2025-08. Estimated completion is 2026-03.
What interventions are being tested in trial NCT06995365?
The interventions under investigation include: Risk Prediction Model (OTHER).
Who is sponsoring clinical trial NCT06995365?
This trial is sponsored by University of California, Los Angeles, which has 897 total clinical trials registered on ClinicalTrials.gov.
Learn More About Clinical Trials
Nationwide trials with similar profiles
Cross-condition peers matched on enrollment target and registry start date, not the same-condition list above.
Similar enrollment target
- NCT04110522 · 18,000 participants · NA
Psoriatic Arthritis D2P Screening
- NCT05513833 · 18,000 participants · NA
School Screening and Telemedicine Specialty Referral to Address Childhood Hearing Loss in Rural Kentucky
- NCT06802224 · 18,000 participants · Phase 4
The Choice of Vasopressor to Prevent Postoperative Acute Kidney Injury After Major Non-Cardiac Surgery
- NCT07108660 · 17,800 participants · NA
Machine Learning Prediction of Possible Central Line Associated Blood Stream Infections and Rate of Reduction
Similar registry start date
- NCT05988463 · started 2027-01-01 · Phase 1
Dose-Escalation Study of Artesunate Patients With IPF
- NCT07219706 · started 2026-12-10 · NA
Dietary Fiber and Time Restricted Eating
- NCT02831335 · started 2026-12-01
Technical Development of Multi-Parametric Renocerebral MRI
- NCT05962346 · started 2026-12 · NA
Fetal Endoscopic Tracheal Occlusion for Congenital Diaphragmatic Hernia