Last reviewed · How we verify

NCT05214105: PREMIER

The Predictive Capacity of Machine Learning Models for Progressive Kidney Disease in Individuals With Sickle Cell Anemia

Status unknown Last updated 14 December 2023
What this trial tests

trial testing Biospecimen/DNA collection and analysis in Sickle Cell Disease in 400 participants. Status unknown.

Timeline
5 July 2022
Primary endpoint
31 January 2026
31 January 2026

Quick facts

Lead sponsorUniversity of Tennessee
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment400
Start date5 July 2022
Primary completion31 January 2026
Estimated completion31 January 2026
Sites3 locations across United States

Drugs / interventions tested

Conditions studied

Sponsor

University of Tennessee

Who can join

Adults 18 to 65, any sex, with Sickle Cell Disease or Kidney Diseases, Chronic. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This is a multicenter prospective, longitudinal cohort study which will evaluate the predictive capacity of machine learning (ML) models for progression of CKD in eligible patients for a minimum of 12 months and potentially for up to 4 years.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Sickle Cell Disease

Currently open trials in the same condition.

Other University of Tennessee trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05214105.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing