Evidence map›Paper›PMID 42514961›Full record

ArticlePharmaceutics2026

Pharmacogenomics of Rivaroxaban: Association of

Ana Marija Slišković, Vladimir Trkulja, Lana Ganoci, Tamara Božina, Vedran Pašara, Majda Vrkić Kirhmajer, Jozefina Palić, Dominik Strikić, Marino Narančić, Ivana Sopek Merkaš and 3 more

Abstract read
In one paragraph

Article in Pharmaceutics, 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

13 authors.

Ana Marija SliškovićDepartment of Cardiovascular Diseases, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0001-6622-7572
Vladimir TrkuljaDepartment of Basic and Clinical Pharmacology, University of Zagreb School of Medicine, 10000 Zagreb, Croatia.ORCID 0000-0002-0968-1194
Lana GanociDepartment of Basic and Clinical Pharmacology, University of Zagreb School of Medicine, 10000 Zagreb, Croatia.
Tamara BožinaDepartment of Medical Chemistry, Biochemistry and Clinical Chemistry, University of Zagreb School of Medicine, 10000 Zagreb, Croatia.ORCID 0000-0001-5883-7979
Vedran PašaraDepartment of Cardiovascular Diseases, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-6587-2315
Majda Vrkić KirhmajerDepartment of Cardiovascular Diseases, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-1340-1917
Jozefina PalićDivision of Pharmacogenomics and Therapy Individualization, Department of Laboratory Diagnostics, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.
Dominik StrikićDivision of Clinical Pharmacology, Department of Internal Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0003-3977-9712
Marino NarančićDivision of Hematology, Department of Internal Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-9617-080X
Ivana Sopek MerkašDepartment of Cardiology, Special Hospital for Medical Rehabilitation Krapinske Toplice, 49217 Krapinske Toplice, Croatia.ORCID 0000-0002-0888-5005
Iveta MerćepDepartment of Internal Medicine, University of Zagreb School of Medicine, 10000 Zagreb, Croatia.ORCID 0000-0003-2824-9222
Joško BulumDepartment of Cardiovascular Diseases, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-1482-6503
Livija ŠimičevićDivision of Pharmacogenomics and Therapy Individualization, Department of Laboratory Diagnostics, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.ORCID 0000-0002-2491-1920

Funding

Croatian Science Foundation , project PGxCardioDrug (UIP-2020-02-8189).
6 · The paper itself

Abstract

aimTo evaluate associations between polymorphisms in

methodsA nested case-control study, divided into two substudies (bleeding and thromboembolic events), was conducted within a prospective cohort of 385 adults receiving rivaroxaban at University Hospital Centre Zagreb (September 2021-September 2024). Bleeding events were classified per ISTH criteria, and genotyping was performed using TaqMan real-time PCR. Cases and controls were balanced using entropy balancing, and associations were estimated with Bayesian logistic regression under a skeptical prior N(0, 0.355); LASSO regression was used to identify clinical and genetic predictors of outcomes.

resultsIn total, 71 patients (18.4%) experienced bleeding events, most frequently gastrointestinal (47.9%), while 314 patients served as controls. No pharmacogenomic variant showed a clear association with bleeding risk (raw and balanced odds ratios 0.80-1.35; 95% credible intervals crossing 1.0). LASSO regression identified age (OR 2.00 per decade), gastrointestinal comorbidity (OR 8.77), and eGFR as the dominant predictors of bleeding. Twenty-one patients experienced occlusive events (15 venous, 6 arterial); however, the low event count precluded meaningful pharmacogenomic analysis.

conclusionsIndividual pharmacogenomic variants in

Indexed as

bleedingdirect oral anticoagulantspersonalized medicinepharmacogenomicsrivaroxaban

Identifiers

PMID42514961
PMCPMC13416040

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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.