Evidence map›Paper›PMID 28593492›Full record

ArticleNetherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation2017

Classical determinants of coronary artery disease as predictors of complexity of coronary lesions, assessed with the SYNTAX score.

J M Montero-Cabezas, I Karalis, R Wolterbeek, A O Kraaijeveld, I E Hoefer, G Pasterkamp, N H Pijls, P A Doevendans, J Walterberger, J Kuiper and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

12 authors at 4 institutions in 2 countries.

J M Montero-CabezasDepartment of Cardiology C5-P, Leiden University Medical Center, Leiden, The Netherlands.
I KaralisDepartment of Cardiology C5-P, Leiden University Medical Center, Leiden, The Netherlands.
R WolterbeekDepartment of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands.
A O KraaijeveldDepartment of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
I E HoeferLaboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
G PasterkampLaboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
N H PijlsDepartment of Cardiology, Catharina Hospital, Eindhoven, The Netherlands.
P A DoevendansDepartment of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
J WalterbergerDepartment of Cardiology, Maastricht University Medical Center, Maastrischt, The Netherlands.
J KuiperDepartment of Biopharmaceutics, Leiden University Medical Center, Leiden, The Netherlands.
A J van ZonneveldDepartment of Internal Medicine (Nephrology), Leiden University Medical Center, Leiden, The Netherlands.
J W JukemaDepartment of Cardiology C5-P, Leiden University Medical Center, Leiden, The Netherlands. j.w.jukema@lumc.nl.
Leiden University Medical Center · NLUniversity Medical Center Utrecht · NLCatharina Ziekenhuis · NLMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe need new biomarkers that can predict cardiovascular disease to improve both diagnosis and therapeutic strategies. The CIRCULATING CELLS study was designed to study the role of several cellular mediators of atherosclerosis as biomarkers of coronary artery disease (CAD). An objective and reproducible method for the quantification of CAD extension is required to establish relationships with these potential biomarkers. We sought to analyse the correlation of the SYNTAX score with known CAD risk factors to test it as a valid marker of CAD extension. METHODS AND

resultsA subgroup of 279 patients (67.4% males) were included in our analysis. Main exclusion criteria were a history of previous percutaneous coronary intervention or surgical revascularisation that prevent an accurate assessment of the SS. Diabetes mellitus, smoking, renal insufficiency, body mass index and a history of CAD and myocardial infarction were all positively and strongly associated with a higher SYNTAX score after adjustment for the non-modifiable biological factors (age and sex). In the multivariate model, age and male sex, along with smoking and renal insufficiency, remain statistical significantly associated with the SYNTAX score.

conclusionIn a selected cohort of revascularisation-naive patients with CAD undergoing coronary angiography, non-modifiable cardiovascular risk factors such as advanced age, male sex, as well as smoking and renal failure were independently associated with CAD complexity assessed by the SYNTAX score. The SYNTAX score may be a valid marker of CAD extension to establish relationships with potential novel biomarkers of coronary atherosclerosis.

Indexed as

Coronary angiographyCoronary artery diseaseRisk assessmentRisk factors

Identifiers

PMID28593492
PMCPMC5571593
OpenAlexW2624397236

What OpenQuestion holds

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LicenceCC BY
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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.