Evidence map›Paper›PMID 33060941›Full record

ReviewIndian journal of thoracic and cardiovascular surgery2018

Genetics, coronary artery disease, and myocardial revascularization: will novel genetic risk scores bring new answers?

Sonya Kit Hui, Louise Sun, Marc Ruel

Abstract readReview
In one paragraph

Review in Indian journal of thoracic and cardiovascular surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Sonya Kit HuiDivision of Cardiac Surgery, University of Ottawa Heart Institute, University of Ottawa, 3402-40 Ruskin Street, Ottawa, ON K1Y4W7 Canada.
Louise SunDivision of Cardiac Anesthesiology, Department of Anesthesiology and Pain Medicine, University of Ottawa Heart Institute, Ottawa, ON Canada.
Marc RuelDivision of Cardiac Surgery, University of Ottawa Heart Institute, University of Ottawa, 3402-40 Ruskin Street, Ottawa, ON K1Y4W7 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both percutaneous coronary intervention (PCI) and coronary artery bypass graft surgery (CABG) are options for revascularization in multi-vessel coronary artery disease (CAD). However, the best form of revascularization remains controversial. Results from clinical trials (FREEDOM, SYNTAX, NOBLE, EXCEL) have identified factors related to CAD severity such as diabetes and SYNTAX score as indicators that patients may have better outcomes with CABG compared to PCI. Nevertheless, the discovery of other predictors of optimal revascularization therapy is necessary to improve decision-making and personalize the treatment of multi-vessel CAD. Genome-wide association studies have identified numerous previously unknown DNA variants that increase predisposition for CAD. Recently, a composite polygenic risk score has been developed to better assess the relative contribution of multiple SNPs and quantify overall genetic risk for CAD. High polygenic risk score is associated with increased coronary events and greater benefit from statin therapy in large observational studies. This effect is independent from traditional cardiovascular risk factors. At the same time, randomized clinical trials have shown that CAD severity is a determinant of optimal revascularization treatment. It remains unknown whether polygenic risk score is robustly associated with increased CAD severity at presentation, and whether this score can be used to identify patients who will show greater benefit from revascularization with CABG or with PCI.

Indexed as

Coronary artery diseaseGeneticsPolygenic risk score

Identifiers

PMID33060941
PMCPMC7525392

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.