Evidence map›Paper›PMID 28795637›Full record

ArticleTherapeutic advances in cardiovascular disease2017

Do ANGPTL-4 and galectin-3 reflect the severity of coronary artery disease?

Luxitaa Goenka, Melvin George, Vishakha Singh, Amrita Jena, Deepika Seshadri, Vasanth Karunakaran, Dhandapani Vellala Elumalai, Jamuna Rani, Ilango Kaliappan

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Article in Therapeutic advances in cardiovascular disease, 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
0.5field-weighted citation impact, top 30% 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

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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, 9 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

9 authors at 1 institution in 1 country.

Luxitaa GoenkaDepartment of Clinical Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India.
Melvin GeorgeDepartment of Clinical Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, 603203, India.
Vishakha SinghDepartment of Biotechnology, SRM University, Kattankulathur, Chennai, Tamil Nadu, India.
Amrita JenaDepartment of Clinical Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India.
Deepika SeshadriDepartment of Clinical Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India.
Vasanth KarunakaranDepartment of IIISM, SRM University, Kattankulathur, Chennai, Tamil Nadu, India.
Dhandapani Vellala ElumalaiDepartment of Cardiology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India.
Jamuna RaniDepartment of Pharmacology, SRM MCH & RC, Kattankulathur, Chennai, Tamil Nadu, India.
Ilango KaliappanDepartment of IIISM, SRM University, Kattankulathur, Chennai, Tamil Nadu, India.
SRM Institute of Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is one of the leading causes of mortality and morbidity worldwide. We thereby sought to investigate whether the biomarkers, angiopoietin-like 4 (ANGPTL-4) and galectin-3, reflect the severity of CAD.

methodsPatients were screened based on inclusion/exclusion criteria and written informed consent was obtained from the patients. Serum ANGPTL-4 and galectin-3 was quantified using enzyme-linked immunosorbent assay (ELISA) and correlated with the Global Registry of Acute Coronary Events (GRACE) and GENSINI score using Spearman's rank correlation coefficient and multivariate analysis.

resultsA total of 226 patients consisting of ST-segment elevation myocardial infarction (STEMI), non-STEMI/unstable angina (USA), chronic stable angina (CSA) and normal controls (NCs) participated in the study. ANGPTL-4 and galectin-3 were significantly higher in CAD than the NC group. ANGPTL-4 showed significant negative correlation with GRACE score in acute coronary syndrome (ACS) ( r = -0.211, p = 0.03) patients. ANGPTL-4 showed significant positive correlation with serum creatinine ( r = 0.304, p = 0.056) and body mass index (BMI) ( r = 0.424, p = 0.009) in CSA patients. A modest positive correlation was observed between the serum galectin-3 levels and GRACE score ( r = 0.187, p = 0.055) in ACS patients. However, on multivariate analysis the positive correlation relationship between ANGPTL-4 and galectin-3 with the severity of CAD was not sustained.

conclusionIn conclusion, ANGPTL-4 and galectin-3 do not appear to have a promising role for assessing the severity of CAD. Nevertheless these biomarkers do warrant further exploration in improving the management of CAD.

Indexed as

AdultAgedAngina, StableAngina, UnstableAngiopoietin-Like Protein 4AngiopoietinsBiomarkersBlood ProteinsCase-Control StudiesChi-Square DistributionChronic DiseaseCoronary AngiographyCoronary Artery DiseaseCross-Sectional StudiesElectrocardiographyEnzyme-Linked Immunosorbent AssayAngiopoietin-Like Protein 4AngiopoietinsANGPTL4 protein, humanBiomarkersBlood ProteinsGalectin 3GalectinsLGALS3 protein, humanangiopoietin-like 4CADgalectin-3GRACE score

Identifiers

PMID28795637
PMCPMC5933584
OpenAlexW2743088412

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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.