Evidence map›Paper›PMID 36312588›Full record

ArticleDisease markers2022

The Correlation between the Triglyceride-Glucose Index and Coagulation Markers in Patients with Recent Acute Myocardial Infarction.

Daniel Košuta, Marko Novaković, Mojca Božič Mijovski, Borut Jug

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. 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
0.5field-weighted citation impact, top 35% 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, 3 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

4 authors at 1 institution in 1 country.

Daniel KošutaFaculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0002-0707-2029
Marko NovakovićFaculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Mojca Božič MijovskiDepartment of Vascular Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-1879-6353
Borut JugFaculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-6015-2127
University of Ljubljana · SI

Funding

Bill & Melinda Gates Foundation INV-032104
6 · The paper itself

Abstract

Background: Metabolic abnormalities and hypercoagulability seem to have an important predictive role in patients with coronary artery disease (CAD). The triglyceride-glucose (TyG) index has emerged as a good marker for metabolic syndrome with predictive value for cardiovascular events. Overall haemostatic potential (OHP) is a reliable global haemostatic essay to identify hypercoagulability in CAD patients. The aim of our study was therefore to evaluate a possible correlation between the TyG index and haemostatic derangements in patients with CAD. Methods: Consecutive patients referred for the first follow-up visit after acute myocardial infarction between December 1, 2018, and March 31, 2020, and did not meet exclusion criteria were included. We determined OHP, overall coagulation potential (OCP), overall fibrinolytic potential (OFP), fibrinogen, D-dimer, and von Willebrand factor from peripheral blood samples. The TyG index was calculated with the previously described and validated formula. Linear regression models were constructed for the multivariate analysis. Results: A total of 117 patients (mean age 56 ± 10 years, 20% women) were included. A correlation was found between TyG index and OCP ( Conclusion: The TyG index, a marker of metabolic syndrome, has a strong correlation with a hypercoagulability state in CAD, as determined by the OCP and higher fibrinogen levels. Our findings suggest that metabolic syndrome may be an important driver of atherothrombotic risk in patients with CAD.

Indexed as

Coronary Artery DiseaseHemostaticsMetabolic SyndromeMyocardial InfarctionThrombophiliaAgedBiomarkersBlood GlucoseFemaleFibrinogenGlucoseHumansMaleMiddle AgedRisk AssessmentRisk FactorsBiomarkersBlood GlucoseFibrinogenGlucoseHemostaticsTriglycerides

Identifiers

PMID36312588
PMCPMC9613396
OpenAlexW4306898324

What OpenQuestion holds

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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.