Evidence map›Paper›PMID 20028910›Full record

Trial reportAJR. American journal of roentgenology2010

Patient characteristics as predictors of image quality and diagnostic accuracy of MDCT compared with conventional coronary angiography for detecting coronary artery stenoses: CORE-64 Multicenter International Trial.

Marc Dewey, Andrea L Vavere, Armin Arbab-Zadeh, Julie M Miller, Leonardo Sara, Christopher Cox, Ilan Gottlieb, Kunihiro Yoshioka, Narinder Paul, John Hoe and 4 more

Open access · bronzeAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in AJR. American journal of roentgenology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
7.1field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Correlation between low tube voltage in dual source CT coronary artery imaging with image quality and radiation dose.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2014
    Trial
  6. Trial
  7. Article
  8. Article
  9. [The challenging patient-recommendations and solutions].Radiologie (Heidelberg, Germany) · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Pre-screening for non-diagnostic coronary computed tomography angiography.European heart journal. Imaging methods and practice · 2023
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Sequential Strategy Including FFRJournal of clinical medicine · 2020
    Article
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

14 authors at 4 institutions in 4 countries.

Marc DeweyDepartment of Radiology, Charité, Universitätsmedizin Berlin Medical School, Humboldt-Universität und Freie Univartment ersität zu Berlin, Berlin, Germany.
Andrea L Vavere
Armin Arbab-Zadeh
Julie M Miller
Leonardo Sara
Christopher Cox
Ilan Gottlieb
Kunihiro Yoshioka
Narinder Paul
John Hoe
Albert de Roos
Albert C Lardo
Joao A Lima
Melvin E Clouse
Johns Hopkins University · USIwate Medical University · JPLeiden University Medical Center · NLToronto General Hospital · CA

Funding

Weight Loss, Inflammation, and Vascular RemodelingP50HL083813 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI WELTY, FRANCINE K · 2006 to 2015
$13.0M
NHLBI NIH HHS P50 HL083813
6 · The paper itself

Abstract

objectiveThe purpose of the study was to investigate patient characteristics associated with image quality and their impact on the diagnostic accuracy of MDCT for the detection of coronary artery stenosis. MATERIALS AND

methodsTwo hundred ninety-one patients with a coronary artery calcification (CAC) score of <or=600 Agatston units (214 men and 77 women; mean age, 59.3+/-10.0 years [SD]) were analyzed. An overall image quality score was derived using an ordinal scale. The accuracy of quantitative MDCT to detect significant (>or=50%) stenoses was assessed using quantitative coronary angiography (QCA) per patient and per vessel using a modified 19-segment model. The effect of CAC, obesity, heart rate, and heart rate variability on image quality and accuracy were evaluated by multiple logistic regression. Image quality and accuracy were further analyzed in subgroups of significant predictor variables. Diagnostic analysis was determined for image quality strata using receiver operating characteristic (ROC) curves.

resultsIncreasing body mass index (BMI) (odds ratio [OR]=0.89, p<0.001), increasing heart rate (OR=0.90, p<0.001), and the presence of breathing artifact (OR=4.97, p<or=0.001) were associated with poorer image quality whereas sex, CAC score, and heart rate variability were not. Compared with examinations of white patients, studies of black patients had significantly poorer image quality (OR=0.58, p=0.04). At a vessel level, CAC score (10 Agatston units) (OR=1.03, p=0.012) and patient age (OR=1.02, p=0.04) were significantly associated with the diagnostic accuracy of quantitative MDCT compared with QCA. A trend was observed in differences in the areas under the ROC curves across image quality strata at the vessel level (p=0.08).

conclusionImage quality is significantly associated with patient ethnicity, BMI, mean scan heart rate, and the presence of breathing artifact but not with CAC score at a patient level. At a vessel level, CAC score and age were associated with reduced diagnostic accuracy.

Indexed as

ArtifactsBody Mass IndexCalcinosisCoronary AngiographyCoronary StenosisFemaleHeart RateHumansLogistic ModelsMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedRisk FactorsROC CurveSensitivity and SpecificityTomography, X-Ray Computed

Identifiers

PMID20028910
PMCPMC3294286
OpenAlexW2016196376

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.