Evidence map›Paper›PMID 30580846›Full record

ArticleIndian heart journal

Serum level of gamma-glutamyl transferase as a biomarker for predicting stenosis severity in patients with coronary artery disease.

Siavash Arasteh, Mohsen Moohebati, Amir Avan, Habibollah Esmaeili, Hamideh Ghazizadeh, Adeleh Mahdizadeh, Farzad Rahmani, Elham Mohamamdazade, Gordon A Ferns, Mohammad Reza Parizadeh and 1 more

Open access · goldAbstract read
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Variants ofDiagnostics (Basel, Switzerland) · 2021
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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

11 authors at 2 institutions in 2 countries.

Siavash ArastehMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Clinical Biochemistry, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohsen MoohebatiCardiovascular Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Amir AvanMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Habibollah EsmaeiliDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamideh GhazizadehMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Adeleh MahdizadehMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Farzad RahmaniDepartment of Clinical Biochemistry, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Elham MohamamdazadeMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Gordon A FernsBrighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex BN1 9PH, UK.
Mohammad Reza ParizadehMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Clinical Biochemistry, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: Parizadehmr@mums.ac.ir.
Majid Ghayour-MobarhanMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: ghayourm@mums.ac.ir.
Mashhad University of Medical Sciences · IRBrighton and Sussex Medical School · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGamma glutamyl transferase (GGT) is associated with pathogenesis of various diseases such as coronary artery disease (CAD). GGT activity displays an essential role in the catabolism of glutathione which is reported as a major antioxidant. The aim of this study was to explore the association of GGT activity with obstruction severity of artery in 500 CAD patients.

resultsOur finding showed a significant association between serum GGT activity and CAD patients. In particular, the level of GGT in patients who had ≥50% obstruction was higher, compared to healthy and patients with less than 50% obstruction in their coronary arteries (the level of GGT in patients with at least one (1 SVD), two (2VD), three (3VD) coronary artery obstruction were 55.6±9.7, 71.7±12.7 and 84.7±13.4, while these values in patients with negative angio or control group were 28±10 and 17±4.6). Furthermore, the activity of this marker was associated with increased the risk of CAD (Odd ratio of GGT in 3VD group: 2, 95%CI: 1.8-2.3), which was also related with HDL-C. Of note, the level of GGT was enhanced progressively with increasing the obstruction severity of arteries.

conclusionWe demonstrate the prognostic value of serum level of GGT as a biomarker for predicting obstruction severity in patients with CAD.

Indexed as

BiomarkersCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsFemalegamma-GlutamyltransferaseHumansMaleMiddle AgedOdds RatioPrognosisRisk FactorsSeverity of Illness IndexBiomarkersgamma-GlutamyltransferaseActivityBiomarkerCoronary artery diseaseGamma glutamyl transferase

Identifiers

PMID30580846
PMCPMC6306306
OpenAlexW2769169415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.