Evidence map›Paper›PMID 27004090›Full record

ArticleHeart international

Nuclear stress perfusion imaging versus computed tomography coronary angiography for identifying patients with obstructive coronary artery disease as defined by conventional angiography: insights from the CorE-64 multicenter study.

Yutaka Tanami, Julie M Miller, Andrea L Vavere, Carlos E Rochitte, Marc Dewey, Hiroyuki Niinuma, Melvin E Clouse, Christopher Cox, Jeffrey Brinker, Joao A C Lima and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heart international. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Observational
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

11 authors at 6 institutions in 4 countries.

Yutaka TanamiDivision of Cardiology, Department of Medicine and Department of Epidemiology, Johns Hopkins University, Baltimore - USA.
Julie M MillerDivision of Cardiology, Department of Medicine and Department of Epidemiology, Johns Hopkins University, Baltimore - USA.
Andrea L VavereDivision of Cardiology, Department of Medicine and Department of Epidemiology, Johns Hopkins University, Baltimore - USA.
Carlos E RochitteDivision of Cardiology, Department of Medicine - InCor, São Paulo - Brazil.
Marc DeweyDepartment of Radiology, Charité, Berlin - Germany.
Hiroyuki NiinumaDivision of Cardiology, Department of Medicine, St. Luke's International Hospital, Tokyo - Japan.
Melvin E ClouseDepartment of Radiology, Beth Israel Deaconess Medical Center, Boston - USA.
Christopher CoxDivision of Cardiology, Department of Medicine and Department of Epidemiology, Johns Hopkins University, Baltimore - USA.
Jeffrey BrinkerDivision of Cardiology, Department of Medicine and Department of Epidemiology, Johns Hopkins University, Baltimore - USA.
Joao A C LimaDivision of Cardiology, Department of Medicine and Department of Epidemiology, Johns Hopkins University, Baltimore - USA.
Armin Arbab-ZadehDivision of Cardiology, Department of Medicine and Department of Epidemiology, Johns Hopkins University, Baltimore - USA.
Johns Hopkins Medicine · USJohns Hopkins University · USAssociação Fundo de Incentivo à Pesquisa · BRBeth Israel Deaconess Medical Center · USCharité - Universitätsmedizin Berlin · DESt. Luke's International Hospital · JP

Funding

Quantification and Characterization of Coronary Atherosclerotic Plaque by CTK23HL098368 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ZADEH, ARMIN A. · 2011 to 2015
$699k
NHLBI NIH HHS K23 HL098368
6 · The paper itself

Abstract

We investigated the diagnostic accuracy of computed tomography angiography (CTA) versus myocardial perfusion imaging (MPI) for detecting obstructive coronary artery disease (CAD) as defined by conventional quantitative coronary angiography (QCA). Sixty-three patients who were enrolled in the CorE-64 multicenter study underwent CTA, MPI, and QCA imaging. All subjects were referred for cardiac catheterization with suspected or known coronary artery disease. The diagnostic accuracy of quantitative CTA and MPI for identifying patients with 50% or greater coronary arterial stenosis by QCA was evaluated using receiver operating characteristic (ROC) analysis. Pre-defined subgroups were patients with known CAD and those with a calcium score of 400 or over. Diagnostic accuracy by ROC analysis revealed greater area under the curve (AUC) for CTA than MPI for all 63 patients: 0.95 [95% confidence interval (CI): 0.89-0.100] vs 0.65 (95%CI: 0.53-0.77), respectively (P<0.01). Sensitivity, specificity, positive and negative predictive values were 0.93, 0.95, 0.97, 0.88, respectively, for CTA and 0.85, 0.45, 0.74, 0.63, respectively, for MPI. In 48 patients without known CAD, AUC was 0.96 for CTA and to 0.67 for SPECT (P<0.01). There was no significant difference in AUC for CTA in patients with calcium score below 400 versus over 400 (0.93 vs 0.95), but AUC was different for SPECT (0.61 vs 0.95; P<0.01). In a direct comparison, CTA is markedly superior to MPI for detecting obstructive coronary artery disease in patients. Even in subgroups traditionally more challenging for CTA, SPECT does not offer similarly good diagnostic accuracy. CTA may be considered the non-invasive test of choice if diagnosis of obstructive CAD is the purpose of imaging.

Indexed as

Cardiac computed tomographyMyocardial ischemiaMyocardial perfusion imaging

Identifiers

PMID27004090
PMCPMC4774949
OpenAlexW1460858611

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.