Evidence map›Paper›PMID 29141503›Full record

ArticleJournal of the renin-angiotensin-aldosterone system : JRAAS

Association of the genetic and traditional risk factors of ischaemic heart disease with STEMI and NSTEMI development.

Diana Žaliaduonytė-Pekšienė, Vaiva Lesauskaitė, Rasa Liutkevičienė, Vytenis Tamakauskas, Vilius Kviesulaitis, Giedrė Šinkūnaitė-Maršalkienė, Sandrita Šimonytė, Simonita Mačiulskytė, Eglė Tamulevičiūtė-Prascienė, Olivija Gustienė and 2 more

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In one paragraph

Article in Journal of the renin-angiotensin-aldosterone system : JRAAS. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 42% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Diana Žaliaduonytė-Pekšienė1 Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Vaiva Lesauskaitė2 Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Rasa Liutkevičienė3 Neuroscience Institute, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Vytenis Tamakauskas1 Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Vilius Kviesulaitis1 Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Giedrė Šinkūnaitė-Maršalkienė2 Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Sandrita Šimonytė2 Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Simonita Mačiulskytė1 Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Eglė Tamulevičiūtė-Prascienė1 Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Olivija Gustienė1 Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Abdonas Tamošiūnas2 Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Remigijus Žaliūnas1 Department of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo evaluate the influence of traditional risk factors of ischaemic heart disease and genetic factors to predict different types of acute coronary syndromes. MATERIALS AND

methodsFive hundred and twenty-three patients with acute coronary syndromes (393 with ST elevation myocardial infarction (STEMI) and 130 with non-ST elevation myocardial infarction (NSTEMI)) comprised the study group. The control group consisted of 645 subjects free from symptoms of ischaemic heart disease and stroke. Genetic polymorphisms of MMP-2 (-735) C/T, MMP-2 (-1306) C/T, MMP-3 (-1171) 5A/6A, MMP-9 (-1562) C/T and ACE I/D were evaluated using polymerase chain reaction.

resultsPatients with acute coronary syndromes more often had ID or II genotype than DD genotype of ACE ( P = 0.04) and 5A5A or 5A6A genotype than 6A6A genotype of MMP-3 ( P = 0.02) in comparison to the control group. The genotypes of other matrix metalloproteinase genes did not differ between the groups. 5A5A and 5A6A genotypes of MMP-3 (odds ratio (OR) 1.5; P = 0.021), II and ID genotypes of ACE (OR 1.7; P = 0.006) along with traditional ischaemic heart disease risk factors such as smoking (OR 4.9; P = 0.001), hypertension (OR 2.0; P = 0.001), diabetes mellitus (OR 2.9; P = 0.001) and dyslipidaemia (OR 2.1; P = 0.001) increased the risk of STEMI. However, the polymorphism of MMP-3 5A/6A and ACE I/D was not associated with the occurrence of NSTEMI.

conclusionsGenetic polymorphisms of MMP-3 5A/6A and ACE I/D along with conventional ischaemic heart disease risk factors increase the risk of the occurrence of STEMI, while having no influence on the pathogenesis of NSTEMI.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseCase-Control StudiesFemaleHumansLogistic ModelsMaleMatrix MetalloproteinasesMiddle AgedMultivariate AnalysisNon-ST Elevated Myocardial InfarctionRisk FactorsST Elevation Myocardial InfarctionMatrix Metalloproteinasesgenetic polymorphismmyocardial infarctionRisk factors

Identifiers

PMID29141503
PMCPMC5843915
OpenAlexW2793006250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.