Evidence map›Paper›PMID 42835550›Full record

ArticleJournal of molecular and cellular cardiology plus2026

CardioPharmaGENET (CA24165): A COST action network for advancing cardiovascular pharmacogenomics and precision medicine.

Adna Ašić, Yvan Devaux, Miron Sopić, Amela Jusić, Lemana Spahić, Rui Vitorino, Damir Marjanović, Konstantin Tashkov, Theodora Katsila, Amra Džuho and 2 more

Abstract readLetter
In one paragraph

Article in Journal of molecular and cellular cardiology plus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Adna AšićVerlab Research Institute for Biomedical Engineering, Medical Devices and Artificial Intelligence, Ferhadija 27/II, 71000, Sarajevo, Bosnia and Herzegovina.
Yvan DevauxCardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445, Strassen, Luxembourg.
Miron SopićFaculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000, Belgrade, Serbia.
Amela JusićQuant Biomarkers, Thiersteinerallee 29, 4053, Basel, Switzerland.
Lemana SpahićVerlab Research Institute for Biomedical Engineering, Medical Devices and Artificial Intelligence, Ferhadija 27/II, 71000, Sarajevo, Bosnia and Herzegovina.
Rui VitorinoDepartment of Medical Sciences, The Biomedicine Institute (iBiMED), University of Aveiro, Campus Universitario de Santiago, Agra do Crasto - Edificio 30, 3810-193, Aveiro, Portugal.
Damir MarjanovićInstitute for Anthropological Research, Gajeva 32, 10000, Zagreb, Croatia.
Konstantin TashkovFaculty of Pharmacy, Medical University, Sofia Center Dunav St. 2, 1000, Sofia, Bulgaria.
Theodora KatsilaNational Hellenic Research Foundation, Leof. Vasileos Konstantinou 48, 116 35, Athens, Greece.
Amra DžuhoVerlab Research Institute for Biomedical Engineering, Medical Devices and Artificial Intelligence, Ferhadija 27/II, 71000, Sarajevo, Bosnia and Herzegovina.
Kanita Karađuzović-HadžiabdićFaculty of Engineering and Natural Sciences, International University of Sarajevo, Hrasnička cesta 15, 71210 Ilidža, Sarajevo, Bosnia and Herzegovina.
CardioPharmaGENET Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CardioPharmaGENET COST Action network aims to advance personalized medicine in cardiovascular care by leveraging pharmacogenomics (PGx) to optimize drug therapies. In cardiovascular medicine, this approach is especially critical, given the significant patient variability in drug responses to therapies. The main goal is to establish a pan-European network that addresses several key challenges that hinder the widespread adoption of PGx in cardiovascular care. These challenges include the lack of a centralized knowledge hub for clinicians and policymakers, insufficient integration of PGx into clinical practice, and inconsistent policy frameworks across Europe. The project also seeks to utilize AI and machine learning to streamline the analysis of large-scale genomic data and enhance clinical decision-making. The network includes five working groups (WG) to tackle these issues: WG1 evaluates the current landscape of cardiovascular PGx, identifying key gaps in research, clinical integration, and available resources; WG2 develops optimized guidelines for applying PGx in cardiovascular therapies, focusing on patient stratification based on genetic and demographic profiles; WG3 focuses on advancing digital and AI tools to improve PGx data analysis and implementation in clinical settings; WG4 analyzes regulatory frameworks across Europe, proposing policy changes to facilitate seamless integration of PGx into healthcare systems; WG5 handles communication, dissemination, and stakeholder engagement, ensuring that findings and guidelines are accessible to all stakeholders, including clinicians, researchers, and policymakers. By addressing these challenges, the network will help bridge the gap between PGx research and clinical practice, improving cardiovascular patient outcomes and promoting equitable healthcare access across Europe. This manuscript represents the COST Association-approved Memorandum of Understanding of COST Action CA24165 CardioPharmaGENET.

Indexed as

Cardiovascular diseasesClinical practicePersonalized medicinePharmacogenomics

Identifiers

PMID42835550
PMCPMC13635436

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.