Evidence map›Paper›PMID 29907855›Full record

Trial reportScientific reports2018

Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imaging.

Felix G Meinel, U Joseph Schoepf, Jacob C Townsend, Brian A Flowers, Lucas L Geyer, Ullrich Ebersberger, Aleksander W Krazinski, Wolfgang G Kunz, Kolja M Thierfelder, Deborah W Baker and 3 more

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

13 authors at 6 institutions in 2 countries.

Felix G MeinelHeart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.
U Joseph SchoepfHeart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA. schoepf@musc.edu.
Jacob C TownsendBirmingham Heart Clinic, Birmingham, AL, US.
Brian A FlowersBirmingham Heart Clinic, Birmingham, AL, US.
Lucas L GeyerHeart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.
Ullrich EbersbergerHeart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.
Aleksander W KrazinskiHeart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.
Wolfgang G KunzDepartment of Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
Kolja M ThierfelderDepartment of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany.
Deborah W BakerCharles George Veterans Affairs Medical Center, Asheville, NC, USA.
Ashan M KhanDepartment of Radiology, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC, USA.
Valerian L FernandesHeart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.
Terrence X O'BrienHeart and Vascular Center, Medical University of South Carolina, Charleston, SC, USA.
Medical University of South Carolina · USRalph H. Johnson VA Medical Center · USCharles George VA Medical Center · USKlinikum Ingolstadt · DELudwig-Maximilians-Universität München · DEUniversity of Rostock · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to determine the diagnostic yield and accuracy of coronary CT angiography (CCTA) in patients referred for invasive coronary angiography (ICA) based on clinical concern for coronary artery disease (CAD) and an abnormal nuclear stress myocardial perfusion imaging (MPI) study. We enrolled 100 patients (84 male, mean age 59.6 ± 8.9 years) with an abnormal MPI study and subsequent referral for ICA. Each patient underwent CCTA prior to ICA. We analyzed the prevalence of potentially obstructive CAD (≥50% stenosis) on CCTA and calculated the diagnostic accuracy of ≥50% stenosis on CCTA for the detection of clinically significant CAD on ICA (defined as any ≥70% stenosis or ≥50% left main stenosis). On CCTA, 54 patients had at least one ≥50% stenosis. With ICA, 45 patients demonstrated clinically significant CAD. A positive CCTA had 100% sensitivity and 84% specificity with a 100% negative predictive value and 83% positive predictive value for clinically significant CAD on a per patient basis in MPI positive symptomatic patients. In conclusion, almost half (48%) of patients with suspected CAD and an abnormal MPI study demonstrate no obstructive CAD on CCTA.

Indexed as

AgedComputed Tomography AngiographyCoronary Artery DiseaseCoronary StenosisFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingPredictive Value of TestsProspective Studies

Identifiers

PMID29907855
PMCPMC6003932
OpenAlexW2807810881

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.