Evidence map›Paper›PMID 28168977›Full record

ArticleAtherosclerosis2017

Diffuse coronary artery disease among other atherosclerotic plaque characteristics by coronary computed tomography angiography for predicting coronary vessel-specific ischemia by fractional flow reserve.

Asim Rizvi, Bríain Ó Hartaigh, Ibrahim Danad, Donghee Han, Ji Hyun Lee, Heidi Gransar, Jackie Szymonifka, Fay Y Lin, James K Min

Abstract readMulticenter Study
In one paragraph

Article in Atherosclerosis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Risk stratification in coronary artery disease using NHThe international journal of cardiovascular imaging · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Frontiers in endocrinology · 2017
    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

9 authors.

Asim RizviDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States.
Bríain Ó HartaighDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States.
Ibrahim DanadDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States.
Donghee HanDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States.
Ji Hyun LeeDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States.
Heidi GransarDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Jackie SzymonifkaDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States.
Fay Y LinDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States; Departments of Radiology and Medicine, Weill Cornell Medicine, New York, NY, United States.
James K MinDalio Institute of Cardiovascular Imaging, Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, United States; Departments of Radiology and Medicine, Weill Cornell Medicine, New York, NY, United States. Electronic address: jkm2001@med.cornell.edu.

Funding

Patient-Specific Coronary Hemodynamics by 3D PrintingR01HL118019 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DUNHAM, SIMON, LIN, FAY YU-HUEI · 2013 to 2022
$5.8M
Gender-Specific Coronary Plaque Characteristics and Risk of Myocardial InfarctionR01HL115150 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MIN, JAMES K · 2012 to 2016
$3.5M
Dual Energy Computed Tomography for Determining Coronary Lesion-Specific IschemiaR01HL111141 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI EDIC, PETER, MIN, JAMES K · 2013 to 2017
$3.0M
NHLBI NIH HHS R01 HL111141NHLBI NIH HHS R01 HL115150NHLBI NIH HHS R01 HL118019
6 · The paper itself

Abstract

BACKGROUND AND

aimsCoronary computed tomography angiography (CCTA) permits effective identification of diffuse CAD and atherosclerotic plaque characteristics (APCs). We sought to examine the usefulness of diffuse CAD beyond luminal narrowing and APCs by CCTA to detect vessel-specific ischemia.

methods407 vessels (n = 252 patients) from the DeFACTO diagnostic accuracy study were retrospectively analyzed for percent plaque diffuseness (PD). Percent plaque diffuseness (PD) was obtained on per-vessel level by summation of all contiguous lesion lengths and divided by total vessel length, and was logarithmically transformed (log percent PD). Additional CCTA measures of stenosis severity including minimal lumen diameter (MLD), and APCs, such as positive remodeling (PR) and low attenuation plaque (LAP), were also included. Vessel-specific ischemia was defined as fractional flow reserve (FFR) ≤0.80. Multivariable regression, discrimination by area under the receiver operating characteristic curve (AUC), and category-free net reclassification improvement (cNRI) were assessed.

resultsBackward stepwise logistic regression revealed that for every unit increase in log percent PD, there was a 58% (95% CI: 1.01-2.48, p = 0.048) rise in the odds of having an abnormal FFR, independent of stenosis severity and APCs. The AUC indicated no further improvement in discriminatory ability after adding log percent PD to the final parsimonious model of MLD, PR, and LAP (AUC difference: 0.003, 95% CI: -0.003-0.010, p = 0.33). Conversely, adding log percent PD to the base model of MLD, PR, and LAP improved cNRI by 0.21 (95% CI: 0.01-0.41, p < 0.001).

conclusionsAccounting for diffuse CAD may help improve the accuracy of CCTA for detecting vessel-specific ischemia.

Indexed as

Computed Tomography AngiographyFractional Flow Reserve, MyocardialMultidetector Computed TomographyPlaque, AtheroscleroticAgedArea Under CurveChi-Square DistributionCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCoronary VesselsEuropeFemaleHumansLinear ModelsLogistic ModelsAtherosclerotic plaque characteristicsCoronary computed tomography angiographyDiffuse coronary artery diseaseFractional flow reserveStenosis severity

Identifiers

PMID28168977
PMCPMC5394795

What OpenQuestion holds

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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.