Evidence map›Paper›PMID 31607665›Full record

ReviewJACC. Cardiovascular imaging2020

Cardiovascular Imaging Techniques to Assess Microvascular Dysfunction.

Roshin C Mathew, Jamieson M Bourque, Michael Salerno, Christopher M Kramer

Abstract readReview
In one paragraph

Review in JACC. Cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 3 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

67 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
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  15. A chronology of basic and clinical research in the coronary microcirculation.Journal of molecular and cellular cardiology · 2025
    Article
  16. Article
  17. Review
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  20. Reduced retinal microvascular density in women with coronary microvascular dysfunction: A pilot study.American heart journal plus : cardiology research and practice · 2025
    Article

7 more citing papers are in PubMed but not listed here.

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

4 authors.

Roshin C MathewDepartment of Medicine (Cardiology), University of Virginia Health System, Charlottesville, Virginia.
Jamieson M BourqueDepartment of Medicine (Cardiology), University of Virginia Health System, Charlottesville, Virginia; Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia.
Michael SalernoDepartment of Medicine (Cardiology), University of Virginia Health System, Charlottesville, Virginia; Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia; Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia.
Christopher M KramerDepartment of Medicine (Cardiology), University of Virginia Health System, Charlottesville, Virginia; Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia. Electronic address: ckramer@virginia.edu.

Funding

HCMR Novel Markers of Prognosis in Hypertrophic CardiomyopathyU01HL117006 · NHLBI · UNIVERSITY OF VIRGINIA · PI KRAMER, CHRISTOPHER M., NEUBAUER, STEFAN · 2013 to 2017
$14.5M
Comprehensive Magnetic Resonance in PADR01HL075792 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI KRAMER, CHRISTOPHER M. · 2003 to 2021
$10.5M
Training in Cardiovascular Imaging ResearchT32EB003841 · NIBIB · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Jonathan R Lindner · 2004 to 2026
$4.4M
High-Resolution Whole Heart Quantitative CMR Perfusion Imaging in Ischemic Heart DiseaseR01HL131919 · NHLBI · UNIVERSITY OF VIRGINIA · PI ENNIS, DANIEL B · 2017 to 2021
$3.5M
Assessment of Perfusion Reserve and Effects of Exercise in Microvascular AnginaK23HL119620 · NHLBI · UNIVERSITY OF VIRGINIA · PI BOURQUE, JAMIESON MACDONALD · 2013 to 2017
$745k
NHLBI NIH HHS K23 HL119620NHLBI NIH HHS R01 HL075792NHLBI NIH HHS R01 HL131919NHLBI NIH HHS U01 HL117006NIBIB NIH HHS T32 EB003841
6 · The paper itself

Abstract

The understanding of microvascular dysfunction without evidence of epicardial coronary artery disease pales in comparison with that of obstructive epicardial coronary artery disease. A primary limitation in the past had been the lack of development of noninvasive methods of detecting and quantifying microvascular dysfunction. This limitation has particularly affected the ability to study the pathophysiology, morbidity, and treatment of this disease. More recently, almost all of the noninvasive cardiac imaging modalities have been used to quantify blood flow and advance understanding of microvascular dysfunction.

Indexed as

Coronary Artery DiseaseMyocardial Perfusion ImagingCoronary AngiographyCoronary CirculationHumansPositron-Emission TomographyPredictive Value of Testscardiac magnetic resonancecomputed tomographyechocardiographymicrovascular dysfunctionpositron emission tomographyquantitative perfusion

Identifiers

PMID31607665
PMCPMC7148179

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.