Evidence map›Paper›PMID 30344267›Full record

ReviewMedicina (Kaunas, Lithuania)2018

Genetic Markers for Coronary Artery Disease.

Nevena Veljkovic, Bozidarka Zaric, Ilona Djuric, Milan Obradovic, Emina Sudar-Milovanovic, Djordje Radak, Esma R Isenovic

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The Journal of international medical research · 2024
    Pooled it
  2. Review
  3. Article
  4. DNA Methylation Aberrant in Atherosclerosis.Frontiers in pharmacology · 2022
    Review
  5. Disease markers · 2021
    Article
  6. Article
  7. Review
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

7 authors.

Nevena VeljkovicCentre for Multidisciplinary Research and Engineering, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia. nevenav@vin.bg.ac.rs.
Bozidarka ZaricLaboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia. bzaric@hotmail.com.
Ilona DjuricDepartment for Endocrinology and Immunoradiology 11080 Zemun, Institute for the Application of Nuclear Energy-INEP, University of Belgrade, 11000 Belgrade, Serbia. ilona.marecko@gmail.com.
Milan ObradovicLaboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia. obradovicmilan@hotmail.com.ORCID 0000-0002-4769-2652
Emina Sudar-MilovanovicLaboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia. emma_crash@yahoo.com.
Djordje RadakSchool of Medicine, Dedinje Cardiovascular Institute, University of Belgrade, 11000 Belgrade, Serbia. radak@ikvbd.com.
Esma R IsenovicLaboratory of Radiobiology and Molecular Genetics, Institute of Nuclear Science Vinca, University of Belgrade, 11000 Belgrade, Serbia. isenovic@yahoo.com.

Funding

Ministry of Education, Science and Technological Development, Republic of Serbia 173001Ministry of Education, Science and Technological Development, Republic of Serbia 41002Ministry of Education, Science and Technological Development,Republic of Serbia 173033
6 · The paper itself

Abstract

Coronary artery disease (CAD) and myocardial infarction (MI) are recognized as leading causes of mortality in developed countries. Although typically associated with behavioral risk factors, such as smoking, sedentary lifestyle, and poor dietary habits, such vascular phenotypes have also long been recognized as being related to genetic background. We review the currently available data concerning genetic markers for CAD in English and non-English articles with English abstracts published between 2003 and 2018. As genetic testing is increasingly available, it may be possible to identify adequate genetic markers representing the risk profile and to use them in a clinical setting.

Indexed as

Coronary Artery DiseaseGenetic MarkersGenetic Predisposition to DiseaseGenetic TestingHumansMyocardial InfarctionRisk FactorsGenetic Markerscoronary artery diseasefamilial hypercholesterolemiagenetic markersGWAS analysis

Identifiers

PMID30344267
PMCPMC6122104

What OpenQuestion holds

Textmetadata
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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.