Evidence map›Paper›PMID 28878828›Full record

ArticleDiabetology & metabolic syndrome2017

Elevated serum interleukin-6 is predictive of coronary artery disease in intermediate risk overweight patients referred for coronary angiography.

Marco V Wainstein, Márcio Mossmann, Gustavo N Araujo, Sandro C Gonçalves, Gabriela L Gravina, Marlei Sangalli, Francine Veadrigo, Roselene Matte, Rejane Reich, Fernanda G Costa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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  10. IL-6 and Cardiovascular Risk: A Narrative Review.Current atherosclerosis reports · 2024
    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

13 authors at 3 institutions in 1 country.

Marco V WainsteinPrograma de Pós-Graduação em Medicina: Cardiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Márcio MossmannPrograma de Pós-Graduação em Medicina: Cardiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Gustavo N AraujoPrograma de Pós-Graduação em Medicina: Cardiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Sandro C GonçalvesPrograma de Pós-Graduação em Medicina: Cardiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Gabriela L GravinaFaculdade de Medicina da, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Marlei SangalliFaculdade de Medicina da, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Francine VeadrigoFaculdade de Medicina da, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Roselene MatteServiço de Cardiologia do, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Rejane ReichServiço de Cardiologia do, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Fernanda G CostaServiço de Cardiologia do, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Michael AndradesUnidade de Análises Moleculares e de Proteínas (UAMP), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil.
Antônio Marcos V da SilvaDepartamento de Fisioterapia e Reabilitação, Universidade Federal de Santa Maria, Santa Maria, Brazil.
Marcello C BertoluciServiço de Medicina Interna do, Hospital de Clínicas de Porto Alegre, Ramiro Barcelos 2350, Porto Alegre, RS 90035-003 Brazil.
Hospital de Clínicas de Porto Alegre · BRUniversidade Federal do Rio Grande do Sul · BRUniversidade Federal de Santa Maria · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterleukin-6 (IL-6) plays a central role in atherosclerosis and inflammation. It may improve risk prediction in patients at intermediate cardiovascular risk.

objectiveTo analyze the impact of serum IL-6 in predicting early angiographic coronary artery disease in patients at intermediate cardiovascular risk with chest pain.

methodsIn a cross-sectional study, patients referred for coronary angiography due to suspected coronary artery disease (CAD) were included. Coronary artery disease was defined as the presence of at least 30% stenosis in one or more coronary artery. Severity of CAD was classified by the anatomic burden score. Performance of serum IL-6 assay was compared with ACC/AHA atherosclerotic cardiovascular disease (ASCVD) risk score and hs-CRP through receiver operating characteristic (ROC) curves.

resultsWe have included 48 patients with a mean 10-year ASCVD risk of 10.0 ± 6.8%. The prevalence of CAD was 72.9%. The presence of CAD was associated with higher mean levels of IL-6 (p = 0.025). Patients with CAD had significantly more overweight than subjects without CAD. In 27% of patients, IL-6 was >1.0 pg/mL and 100% of these patients had CAD, while only 64% in those with IL-6 <1.0 pg/mL, corresponding to a positive predictive value of 100% (p = 0.015). The area under the receiver operating characteristic (ROC) curve of IL-6, hs-CRP and ASCVD were respectively 0.72, 0.60 and 0.54. Intermediate risk patients with IL-6 >1.0 pg/mL were further reclassified into ASCVD high risk due to the presence of coronary lesions.

conclusionIn intermediate risk patients referred for coronary angiography, a serum IL-6 level above 1 pg/mL is predictive of significant CAD. IL-6 determination may be useful to reclassify ASCVD intermediate risk patients into higher risk categories.

Indexed as

Coronary angiographyCoronary artery diseaseInflammationInterleukin-6Risk factorsRisk scores

Identifiers

PMID28878828
PMCPMC5585915
OpenAlexW2752609748

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.