Evidence map›Paper›PMID 28169140›Full record

ArticleAcademic radiology2017

Influence of Cardiovascular Risk Factors on the Prevalence of Coronary Atherosclerosis in Patients with Angiographically Normal Coronary Arteries.

Daniel O Bittner, Lutz Klinghammer, Mohamed Marwan, Jasmin Schmid, Christian Layritz, Udo Hoffmann, Stephan Achenbach, Tobias Pflederer

Open access · greenAbstract read
In one paragraph

Article in Academic radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Daniel O BittnerDepartment of Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany; Cardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: daniel.bittner@uk-erlangen.de.
Lutz KlinghammerDepartment of Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany.
Mohamed MarwanDepartment of Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany.
Jasmin SchmidDepartment of Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany.
Christian LayritzDepartment of Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany.
Udo HoffmannCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Stephan AchenbachDepartment of Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany.
Tobias PfledererDepartment of Cardiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Ulmenweg 18, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEHarvard University · USUniversitätsklinikum Erlangen · DE

Funding

Cardiovascular Imaging in Ischemic Heart DiseaseK24HL113128 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2012 to 2020
$1.1M
NHLBI NIH HHS K24 HL113128
6 · The paper itself

Abstract

RATIONALE AND

objectivesCardiovascular (CV) disease is predominately influenced by CV risk factors and coronary computed tomography angiography (CTA) is capable of detecting early-stage coronary artery disease. We sought to determine the influence of CV risk factors on the prevalence of nonobstructive atherosclerosis in patients with normal-appearing coronary arteries in invasive coronary angiography (ICA). MATERIALS AND

methodsIn this retrospective analysis, we included 60 consecutive symptomatic patients, having undergone ICA and coronary CTA. Coronary dual source CTA was performed using electrocardiogram-triggered retrospective gated image acquisition at 40%-70% of RR interval (tube voltage 100-120 kV, tube current time product 320-440 mAs, 60 mL contrast, and flow rate 6 mL/s).

resultsOut of 60 patients (32 men, mean age 61 ± 11 years) with a normal coronary artery appearance in ICA, 45 (75%) patients showed atherosclerotic plaque in CTA. Plaque was present in 14 of 60 (23%) left main, 41 of 60 (68%) left anterior descending, 21 of 60 (35%) circumflex coronary arteries, and 24 of 60 (40%) right coronary arteries. More than 15% of all coronary artery segments showed detectable plaques. Interobserver agreement ranged from good to very good on a per-patient, per-vessel, and per-segment level. Patients with presence of plaque were significantly older (P = 0.005) and showed higher incidence of arterial hypertension (P = 0.019) as compared to individuals without coronary plaque in dual source computed tomography.

conclusionsThe prevalence of coronary atherosclerosis by CTA is substantial in symptomatic patients with normal invasive coronary angiogram. Hypertension and older age significantly influence the prevalence of atherosclerotic plaque and highlight the importance of risk-modifying therapy.

Indexed as

Coronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedMultidetector Computed TomographyPlaque, AtheroscleroticPrevalenceReference ValuesRetrospective StudiesRisk FactorsROC CurveUnited StatesCardiovascular risk factorscomputed tomographycoronary artery diseasecoronary plaqueinvasive coronary angiography

Identifiers

PMID28169140
PMCPMC5946056
OpenAlexW2584241965

What OpenQuestion holds

Textmetadata
LicenceTDM
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.