Evidence map›Paper›PMID 32698322›Full record

Observational studyGenes2020

Stefan Cristian Vesa, Sonia Irina Vlaicu, Vitalie Vacaras, Sorin Crisan, Octavia Sabin, Sergiu Pasca, Adrian Pavel Trifa, Tamas Rusz-Fogarasi, Madalina Sava, Anca Dana Buzoianu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Predictor Role ofMedicina (Kaunas, Lithuania) · 2025
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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

10 authors at 2 institutions in 1 country.

Stefan Cristian VesaDepartment of Pharmacology, Toxicology and Clinical Pharmacology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania.ORCID 0000-0003-4549-3526
Sonia Irina VlaicuDepartment of Internal Medicine, 1st Medical Clinic, "Iuliu Haţieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.
Vitalie VacarasDepartment of Neurosciences, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400486 Cluj-Napoca, Romania.
Sorin CrisanDepartment of Internal Medicine, 5th Medical Clinic, "Iuliu Haţieganu" University of Medicine and Pharmacy, 400139 Cluj-Napoca, Romania.
Octavia SabinDepartment of Pharmacology, Toxicology and Clinical Pharmacology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania.ORCID 0000-0003-4457-8456
Sergiu PascaMedfuture Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.
Adrian Pavel TrifaDepartment of Medical Genetics, "Iuliu Haţieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.ORCID 0000-0002-0229-8643
Tamas Rusz-FogarasiDepartment of Surgery, 1st Surgical Clinic, Emergency County Hospital, 400006 Cluj-Napoca, Romania.
Madalina SavaDepartment of Dermatology, Emergency County Hospital, 410032 Oradea, Romania.
Anca Dana BuzoianuDepartment of Pharmacology, Toxicology and Clinical Pharmacology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400337 Cluj-Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROClinical Emergency Hospital Bucharest · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAtherosclerosis represents the process by which fibrous plaques are formed in the arterial wall, increasing its rigidity with a subsequent decrease in blood flow which can lead to several cardiovascular events. Seeing as vitamin K antagonists are involved in the pathogenesis of atherosclerosis, we decided to investigate whether polymorphisms in genes that influence vitamin K metabolism might have an impact in modulating the risk of plaque formation. PATIENTS AND

methodsIn the current study we included adult patients admitted in the Clinical Municipal Hospital of Cluj-Napoca without any carotid or femoral plaques clinically visible at the initial investigation, and a five year follow-up was subsequently performed. We recorded the following patient characteristics: age at inclusion, gender, area of living, smoking, presence of carotid and/or femoral plaques at five years, ischemic heart disease, arterial hypertension, atrial fibrillation, heart failure, diabetes mellitus, obesity, dyslipidemia, drug (oral anticoagulants, antihypertensives, hypolipidemic, anti-diabetic) use and status for the following gene polymorphisms: VKORC1 1639 G>A, CYP4F2 1347 G>T and GGCX 12970 C>G.

resultsWe observed that the major predictor of both carotid and femoral plaque formation is represented by ischemic cardiac disease. VKORC1 and CYP4F2 polymorphisms did not predict plaque formation, except for VKORC1 homozygous mutants. Nonetheless, both VKORC1 and CYP4F2 interacted with ischemic cardiac disease, increasing the risk of developing a carotid plaque, while only CYP4F2, but not VKORC1, interacted with ischemic cardiac disease to increase the risk of femoral plaque formation.

conclusionsWe documented that CYP4F2 and VKORC1 polymorphisms boost the proinflammatory plaque environment (observed indirectly through the presence of ischemic heart disease), increasing the risk of plaque development.

Indexed as

Polymorphism, Single NucleotideAgedCarotid Artery DiseasesCytochrome P450 Family 4FemaleHumansMaleMiddle AgedPlaque, AtheroscleroticVitamin K Epoxide ReductasesCYP4F2 protein, humanCytochrome P450 Family 4Vitamin K Epoxide ReductasesVKORC1 protein, humanatherosclerosisCYP4F2 polymorphismVKORC1 polymorphism

Identifiers

PMID32698322
PMCPMC7396977
OpenAlexW3042680234

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.