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NCT05626413
Cardiovascular Disease in Patients With Diabetes: The Silesia Diabetes-Heart Project
trial in Diabetes Mellitus in 4,000 participants. Status unknown.
31 December 2025
Quick facts
| Lead sponsor | Medical University of Silesia |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 4,000 |
| Start date | 1 January 2015 |
| Primary completion | 31 December 2025 |
| Estimated completion | 31 January 2026 |
| Sites | 1 location across Poland |
Conditions studied
- Diabetes Mellitus — all drugs for Diabetes Mellitus →
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):
-
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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:
- PubMed search for NCT05626413
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05626413 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Medical University of Silesia
- Last refreshed: 10 April 2024
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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