Evidence map›Paper›PMID 27599267›Full record

ArticleClinical cardiology2016

Relationship Among Risk Score Systems and Coronary Atherosclerosis Determined by Multislice Computed Tomography.

Alberto García-Lledó, José L Moya-Mur, Virginia Ponz-Mir, Susana Novo-Aparicio, Azucena Sanz-Barrio, Concepción Álvarez-Sanz, Ana de Santiago-Nocito

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Clinical cardiology, 2016. 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
0.3field-weighted citation impact, top 34% 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, 3 citations in OpenAlex.

  1. Review
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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

7 authors at 4 institutions in 1 country.

Alberto García-LledóDepartment of Cardiology, University Hospital Principe de Asturias, and Department of Medicine, University of Alcalá, Alcalá de Henares, Spain. alberto.garcia-lledo@uah.es.
José L Moya-MurDepartment of Cardiology University Hospital Ramón y Cajal, Madrid, Spain.
Virginia Ponz-MirDepartment of Cardiology, University Hospital Principe de Asturias, and Department of Medicine, University of Alcalá, Alcalá de Henares, Spain.
Susana Novo-AparicioDepartment of Radiology University Hospital Príncipe de Asturias, Alcalá de Henares, Spain.
Azucena Sanz-BarrioDepartment of Cardiology, University Hospital Principe de Asturias, and Department of Medicine, University of Alcalá, Alcalá de Henares, Spain.
Concepción Álvarez-SanzDepartment of Radiology University Hospital Príncipe de Asturias, Alcalá de Henares, Spain.
Ana de Santiago-NocitoGAI-Guadalajara, SESCAM, Guadalajara, Spain.
Universidad de Alcalá · ESHospital Universitario Príncipe de Asturias · ESHospital Universitario Ramón y Cajal · ESServicio de Salud de Castilla La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk score systems (RSS) were designed to estimate the risk of cardiac events. Their ability to predict coronary atherosclerosis (CA) has not been established. HYPOTHESIS: Risk score systems can predict presence of CA in patients without typical symptoms or ischemia. Because design of each RSS is different, their predictive value could also differ.

methodsA retrospective analysis was done on patients from a low-risk region referred for cardiac multislice computed tomography (MSCT). The sample included low- to intermediate-risk patients with nontypical chest pain and asymptomatic high-risk patients. Patients with documented ischemia were excluded. Three RSS were determined: Framingham Risk Score (FRS), Regicor (FRS calibrated for Spanish population), and Systematic Coronary Risk Evaluation (SCORE). Coronary arteries were investigated to determine calcium score and presence of protruding atheromas.

resultsWe analyzed 582 patients (53.8% male; mean age 51 ± 11.5 years). Their mean estimated risk was intermediate: 15.6 ± 10.4 by FRS, 6.3 ± 4.3 by Regicor, and 3.9 ± 4.1 by SCORE. The MSCT showed no CA in 38.8%, nonobstructive plaques in 28.7%, and obstructive ones in 32.5%. The ability of the RSS to predict CA was not significantly different, with moderate diagnostic value (areas under ROC curves, 0.72-0.65). The prevalence of CA was high in low-risk patients: 40%, 47%, and 53% in FRS, Regicor, and SCORE low-risk patients, respectively.

conclusionsRisk score systems have only moderate diagnostic value to predict presence of CA, without significant differences among them. Coronary artery disease is highly prevalent in patients considered low risk.

Indexed as

Computed Tomography AngiographyDecision Support TechniquesMultidetector Computed TomographyPlaque, AtheroscleroticAdultArea Under CurveCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective Studiesacute coronary syndromescomputed tomographyImagingIschemic heart diseasePreventive cardiology

Identifiers

PMID27599267
PMCPMC6490732
OpenAlexW2513964282

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.