Evidence map›Paper›PMID 28101856›Full record

ArticleJournal of applied genetics2017

Relationship of long-term prognosis to MMP and TIMP polymorphisms in patients after ST elevation myocardial infarction.

Monika Pavkova Goldbergova, Jiri Jarkovsky, Jolana Lipkova, Simona Littnerova, Martin Poloczek, Jindrich Spinar, Lenka Kubkova, Krystyna Kluz, Petr Kala, Jan Manousek and 2 more

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Article in Journal of applied genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Observational
  4. Article
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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 3 institutions in 1 country.

Monika Pavkova GoldbergovaFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Jiri JarkovskyInstitute of Biostatistics and Analyses, Masaryk University, Brno, Czech Republic.
Jolana LipkovaFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Simona LittnerovaInstitute of Biostatistics and Analyses, Masaryk University, Brno, Czech Republic.
Martin PoloczekFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Jindrich SpinarFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Lenka KubkovaFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Krystyna KluzFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Petr KalaFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Jan ManousekFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Anna VaskuFaculty of Medicine, Masaryk University, Brno, Czech Republic.
Jiri ParenicaFaculty of Medicine, Masaryk University, Brno, Czech Republic. jiri.parenica@atlas.cz.
Masaryk University · CZUniversity Hospital Brno · CZNemocnice Podlesí · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of polymorphisms in the large group of MMP and TIMP genes on clinical outcomes in patients after ST elevation myocardial infarction (STEMI) treated with primary PCI was analysed. In total, 550 consecutive Caucasian patients with STEMI were included in the present study, with a median of 32 months. We analysed 19 polymorphisms in the genes coding MMP and TIMP genes. The MMP-1 -519A/G and -422A/T polymorphisms are associated with combined endpoint after myocardial infarction. The hazard ratio for AT variant of MMP-1 -422A/T was 1.75 (p < 0.001); the variants with at least one A allele of MMP-1 -519A/G have less risk of combined endpoint. The TT variants of -1562C/T MMP-9 and at least one T allele of +92C/T MMP-13 were considered in a trend to affect disease progression and long-term survival after myocardial infarction. According to reclassification analysis NRI and IDI, long-term risk stratification using MMP-1 -422A/T and -519A/G polymorphisms gives additional information to the commonly used GRACE risk score. Patient stratification after myocardial infraction (MI) according to risk genotypes of MMP-1 polymorphisms could have important clinical implications for identification of patients at risk and therapeutic strategies.

Indexed as

AdultAgedAllelesFemaleHumansMaleMatrix Metalloproteinase 1Matrix Metalloproteinase 13Matrix Metalloproteinase 9Middle AgedPercutaneous Coronary InterventionPolymorphism, GeneticPrognosisRisk FactorsST Elevation Myocardial InfarctionTissue Inhibitor of MetalloproteinasesMatrix Metalloproteinase 1Matrix Metalloproteinase 13Matrix Metalloproteinase 9MMP13 protein, humanMMP1 protein, humanMMP9 protein, humanTissue Inhibitor of MetalloproteinasesMMPPolymorphismPrognosisSTEMITIMP

Identifiers

PMID28101856
OpenAlexW2572133254

What OpenQuestion holds

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Registered trials

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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.