Evidence map›Paper›PMID 36814994›Full record

ArticleVascular health and risk management2023

Genetic Variants in PHACTR1 & LPL Mediate Restenosis Risk in Coronary Artery Patients.

Cynthia Al Hageh, Stephanie Chacar, Thenmozhi Venkatachalam, Dominique Gauguier, Antoine Abchee, Elie Chammas, Hamdan Hamdan, Siobhan O'Sullivan, Pierre Zalloua, Moni Nader

Open access · goldAbstract read
In one paragraph

Article in Vascular health and risk management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Improving T2D machine learning-based prediction accuracy with SNPs and younger age.Computational and structural biotechnology journal · 2025
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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

10 authors at 5 institutions in 5 countries.

Cynthia Al Hageh *Department of Molecular Biology and Genetics, College of Medicine and Health Sciences, Khalifa University for Science and Technology, Abu Dhabi, United Arab Emirates.ORCID 0000-0001-8386-4063
Stephanie Chacar *Department of Physiology and Immunology College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, UAE.ORCID 0000-0003-4073-4749
Thenmozhi VenkatachalamDepartment of Physiology and Immunology College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, UAE.
Dominique GauguierMcGill University and Genome Quebec Innovation Centre, Montreal, QC, H3A 0G1, Canada.
Antoine AbcheeSheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
Elie ChammasSchool of Medicine, Lebanese University, Beirut, Lebanon.
Hamdan HamdanDepartment of Physiology and Immunology College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, UAE.
Siobhan O'SullivanDepartment of Molecular Biology and Genetics, College of Medicine and Health Sciences, Khalifa University for Science and Technology, Abu Dhabi, United Arab Emirates.
Pierre ZallouaDepartment of Molecular Biology and Genetics, College of Medicine and Health Sciences, Khalifa University for Science and Technology, Abu Dhabi, United Arab Emirates.
Moni NaderDepartment of Physiology and Immunology College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, UAE.ORCID 0000-0003-2138-5213
Khalifa University of Science and Technology · AEHarvard University · USInserm · FRLebanese University · LBSheikh Shakhbout Medical City · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Coronary artery disease (CAD) is a major cause of death worldwide. Revascularization via stent placement or coronary artery bypass grafting (CABG) are standard treatments for CAD. Despite a high success rate, these approaches are associated with long-term failure due to restenosis. Risk factors associated with restenosis were investigated using a case-control association study design. Methods: Five thousand two hundred and forty-two patients were enrolled in this study and were assigned as follows: Stenosis Group: 3570 patients with CAD >50% without a prior stent or CABG (1394 genotyped), and Restenosis Group: 1672 patients with CAD >50% and prior stent deployment or CABG (705 genotyped). Binomial regression models were applied to investigate the association of restenosis with diabetes, hypertension, and dyslipidemia. The genetic association with restenosis was conducted using PLINK 1.9. Results: Dyslipidemia is a major risk factor (Odds Ratio (OR) = 2.14, P-value <0.0001) for restenosis particularly among men (OR = 2.32, P < 0.0001), while type 2 diabetes (T2D) was associated with an increased risk of restenosis in women (OR = 1.36, P = 0.01). The rs9349379 ( Conclusion: The rs9349379 in

Indexed as

Coronary Artery DiseaseCoronary RestenosisDiabetes Mellitus, Type 2DyslipidemiasConstriction, PathologicFemaleHumansMaleRisk FactorsdiabetesLPLPHACTR1restenosis

Identifiers

PMID36814994
PMCPMC9940491
OpenAlexW4320912911

What Socratic 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 Socratic graph.