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NCT05619042: CAC-TRAIT

Detection of Coronary Artery Calcifications by Whole Blood Transcriptome Analyzed by Artificial InTelligence Algorithms

Completed Last updated 20 March 2024
What this trial tests

trial in Atherosclerosis in 800 participants. Completed in 24 January 2024.

Timeline
7 November 2022
Primary endpoint
24 January 2024
24 January 2024

Quick facts

Lead sponsorSantiago Gabriel Miriuka
StatusCompleted
Study typeOBSERVATIONAL
Enrollment800
Start date7 November 2022
Primary completion24 January 2024
Estimated completion24 January 2024
Sites1 location across Argentina

Conditions studied

Sponsor

Santiago Gabriel Miriuka

Who can join

Adults 30 to 75, any sex, with Atherosclerosis or Atheroscleroses, Coronary. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The goal of this observational study is to determine the diagnostic accuracy of peripheral whole blood transcriptomes analyzed by an artificial intelligence algorithm to detect the presence and extent of coronary calcification in individuals without a history of known cardiovascular disease. The main question it aims to answer is: 1\. Will the proposed method predict the presence and extent of coronary artery calcification from the peripheral whole-blood transcriptomes?

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Atherosclerosis

Currently open trials in the same condition.

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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/NCT05619042.

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