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NCT05626413

Cardiovascular Disease in Patients With Diabetes: The Silesia Diabetes-Heart Project

Status unknown Last updated 10 April 2024
What this trial tests

trial in Diabetes Mellitus in 4,000 participants. Status unknown.

Timeline
1 January 2015
Primary endpoint
31 December 2025
31 January 2026

Quick facts

Lead sponsorMedical University of Silesia
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment4,000
Start date1 January 2015
Primary completion31 December 2025
Estimated completion31 January 2026
Sites1 location across Poland

Conditions studied

Sponsor

Medical University of Silesia

Who can join

18 and older, any sex, with Diabetes Mellitus. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The project is an observational one which undertakes different, easy to obtain in everyday clinical practice, demographical, laboratory and clinical parameters of patients with diabetes in Silesian Region in Poland to predict cardiovascular disease, cardiovascular events and neuropathy using machine learning approach.

Publications & conference data

8 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project.
    Kwiendacz H, Huang B, Chen Y, Janota O, et al · · 2025 · cited 12× · PMID 39955553 · DOI 10.1186/s12933-025-02615-w
  2. Machine Learning Identifies Metabolic Dysfunction-Associated Steatotic Liver Disease in Patients With Diabetes Mellitus.
    Nabrdalik K, Kwiendacz H, Irlik K, Hendel M, et al · · 2024 · cited 12× · PMID 38330228 · DOI 10.1210/clinem/dgae060
  3. Machine learning identification of risk factors for heart failure in patients with diabetes mellitus with metabolic dysfunction associated steatotic liver disease (MASLD): the Silesia Diabetes-Heart Project.
    Nabrdalik K, Kwiendacz H, Irlik K, Hendel M, et al · · 2023 · cited 11× · PMID 37985994 · DOI 10.1186/s12933-023-02014-z
  4. Metabolically "extremely unhealthy" obese and non-obese people with diabetes and the risk of cardiovascular adverse events: the Silesia Diabetes - Heart Project.
    Janota O, Mantovani M, Kwiendacz H, Irlik K, et al · · 2024 · cited 7× · PMID 39227929 · DOI 10.1186/s12933-024-02420-x
  5. Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study.
    Nabrdalik K, Irlik K, Meng Y, Kwiendacz H, et al · · 2024 · cited 6× · PMID 39127709 · DOI 10.1186/s12933-024-02367-z
  6. Machine learning profiles of cardiovascular risk in patients with diabetes mellitus: the Silesia Diabetes-Heart Project.
    Kwiendacz H, Wijata AM, Nalepa J, Piaśnik J, et al · · 2023 · cited 4× · PMID 37620935 · DOI 10.1186/s12933-023-01938-w
  7. Diabetic kidney disease phenotypes and the risk of cardiovascular events: The Silesia Diabetes-Heart Project.
    Janota-Sosińska O, Mantovani M, Irlik K, Kwiendacz H, et al · · 2025 · cited 2× · PMID 40739504 · DOI 10.1186/s12933-025-02852-z
  8. Clinical risk phenotypes in diabetes and their associations with adverse cardiovascular events: A report from the Silesia Diabetes-Heart Project.
    Mantovani M, Kwiendacz H, Irlik K, Bucci T, et al · · 2026 · cited 1× · PMID 40963505 · DOI 10.1111/dme.70136

Verify or expand the search:

Other recruiting trials for Diabetes Mellitus

Currently open trials in the same condition.

Other Medical University of Silesia trials

Trials by the same sponsor.

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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/NCT05626413.

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