Evidence map›Paper›PMID 26347004›Full record

SynthesisThe American journal of cardiology2015

Meta-Analysis of Diagnostic Performance of Coronary Computed Tomography Angiography, Computed Tomography Perfusion, and Computed Tomography-Fractional Flow Reserve in Functional Myocardial Ischemia Assessment Versus Invasive Fractional Flow Reserve.

Jorge A Gonzalez, Michael J Lipinski, Lucia Flors, Peter W Shaw, Christopher M Kramer, Michael Salerno

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in The American journal of cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 9 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

62 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  4. Umbrella review and multivariate meta-analysis of diagnostic test accuracy studies on hybrid non-invasive imaging for coronary artery disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
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  10. Unveiling the Microvasculature: The Index of Microcirculatory Resistance and Its Expanding Role in Cardiovascular Care.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jorge A GonzalezDivision of Cardiology, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia.
Michael J LipinskiDivision of Cardiology, Department of Medicine, MedStar Washington Hospital Center, Washington, District of Columbia.
Lucia FlorsDepartment of Radiology, University of Virginia Health System, Charlottesville, Virginia.
Peter W ShawDivision of Cardiology, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia.
Christopher M KramerDivision of Cardiology, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia; Department of Radiology, University of Virginia Health System, Charlottesville, Virginia.
Michael SalernoDivision of Cardiology, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia; Department of Radiology, University of Virginia Health System, Charlottesville, Virginia; Department of Biomedical Engineering and Cardiovascular Imaging Center, University of Virginia Health System, Charlottesville, Virginia. Electronic address: ms5pc@virginia.edu.

Funding

Training in Cardiovascular Imaging ResearchT32EB003841 · NIBIB · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Jonathan R Lindner · 2004 to 2026
$4.4M
Quantitative Adenosine Stress CMR with Spiral Pulse SequencesK23HL112910 · NHLBI · UNIVERSITY OF VIRGINIA · PI SALERNO, MICHAEL · 2012 to 2016
$789k
NHLBI NIH HHS K23 HL112910NIBIB NIH HHS T32 EB003841
6 · The paper itself

Abstract

We sought to compare the diagnostic performance of coronary computed tomography angiography (CCTA), computed tomography perfusion (CTP), and computed tomography (CT)-fractional flow reserve (FFR) for assessing the functional significance of coronary stenosis as defined by invasive FFR in patients with known or suspected coronary artery disease (CAD). CCTA has proved clinically useful for excluding obstructive CAD because of its high sensitivity and negative predictive value (NPV); however, the ability of CTA to identify functionally significant CAD has remained challenging. We searched PubMed/Medline for studies evaluating CCTA, CTP, or CT-FFR for the noninvasive detection of obstructive CAD compared with catheter-derived FFR as the reference standard. Pooled sensitivity, specificity, PPV, NPV, likelihood ratios, and odds ratio of all diagnostic tests were assessed. Eighteen studies involving a total of 1,535 patients were included. CTA demonstrated a pooled sensitivity of 0.92, specificity 0.43, PPV of 0.56, and NPV of 0.87 on a per-patient level. CT-FFR and CTP increased the specificity to 0.72 and 0.77, respectively (p = 0.004 and p = 0.0009) resulting in higher point estimates for PPV 0.70 and 0.83, respectively. There was no improvement in the sensitivity. The CTP protocol involved more radiation (3.5 mSv CCTA vs 9.6 mSv CTP) and a higher volume of iodinated contrast (145 ml). In conclusion, CTP and CT-FFR improve the specificity of CCTA for detecting functionally significant stenosis as defined by invasive FFR on a per-patient level; both techniques could advance the ability to noninvasively detect the functional significance of coronary lesions.

Indexed as

Fractional Flow Reserve, MyocardialCoronary AngiographyCoronary StenosisEvidence-Based MedicineHumansMyocardial IschemiaPredictive Value of TestsPrognosisRadionuclide AngiographySensitivity and SpecificitySeverity of Illness IndexTomography, Emission-Computed, Single-PhotonTomography, X-Ray Computed

Identifiers

PMID26347004
PMCPMC4851492

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.