Evidence map›Paper›PMID 37578007›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2023

The diagnostic performance of quantitative flow ratio and perfusion imaging in patients with prior coronary artery disease.

Pepijn A van Diemen, Ruben W de Winter, Stefan P Schumacher, Henk Everaars, Michiel J Bom, Ruurt A Jukema, Yvemarie B Somsen, Pieter G Raijmakers, Rolf A Kooistra, Janny Timmer and 12 more

Open access · hybridAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Cardiovascular imaging research and innovation in 2023.European heart journal. Imaging methods and practice · 2024
    Review
  6. 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

22 authors at 5 institutions in 4 countries.

Pepijn A van DiemenDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Ruben W de WinterDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.ORCID 0000-0003-2199-5943
Stefan P SchumacherDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Henk EveraarsDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Michiel J BomDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.ORCID 0000-0002-6326-7437
Ruurt A JukemaDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Yvemarie B SomsenDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Pieter G RaijmakersDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Rolf A KooistraMedis Medical Imaging, Leiden, The Netherlands.
Janny TimmerMedis Medical Imaging, Leiden, The Netherlands.
Teemu MaaniittyTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.ORCID 0000-0001-5819-4635
Lourens F RobbersDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Martin B von BartheldDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Ahmet DemirkiranDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.ORCID 0000-0001-8104-3296
Albert C van RossumDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Johan H ReiberMedis Medical Imaging, Leiden, The Netherlands.
Juhani KnuutiTurku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.ORCID 0000-0003-3156-9593
S Richard UnderwoodDepartment of Nuclear Medicine, Royal Brompton Hospital, London, UK.
Eike NagelInstitute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, University Hospital Frankfurt am Main, Frankfurt am Main, Germany.ORCID 0000-0002-6044-950X
Paul KnaapenDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.ORCID 0000-0001-8038-7898
Roel S DriessenDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.ORCID 0000-0003-3971-0109
Ibrahim DanadDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam 1081 HV, The Netherlands.
Amsterdam University Medical Centers · NLCentre for Medical Systems Biology · NLUniversity of Turku · FIGoethe University Frankfurt · DERoyal Brompton Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIn chronic coronary syndrome (CCS) patients with documented coronary artery disease (CAD), ischaemia detection by myocardial perfusion imaging (MPI) and an invasive approach are viable diagnostic strategies. We compared the diagnostic performance of quantitative flow ratio (QFR) with single-photon emission computed tomography (SPECT), positron emission tomography (PET), and cardiac magnetic resonance imaging (CMR) in patients with prior CAD [previous percutaneous coronary intervention (PCI) and/or myocardial infarction (MI)]. METHODS AND

resultsThis PACIFIC-2 sub-study evaluated 189 CCS patients with prior CAD for inclusion. Patients underwent SPECT, PET, and CMR followed by invasive coronary angiography with fractional flow reserve (FFR) measurements of all major coronary arteries (N = 567), except for vessels with a sub-total or chronic total occlusion. Quantitative flow ratio computation was attempted in 488 (86%) vessels with measured FFR available (FFR ≤0.80 defined haemodynamically significant CAD). Quantitative flow ratio analysis was successful in 334 (68%) vessels among 166 patients and demonstrated a higher accuracy (84%) and sensitivity (72%) compared with SPECT (66%, P < 0.001 and 46%, P = 0.001), PET (65%, P < 0.001 and 58%, P = 0.032), and CMR (72%, P < 0.001 and 33%, P < 0.001). The specificity of QFR (87%) was similar to that of CMR (83%, P = 0.123) but higher than that of SPECT (71%, P < 0.001) and PET (67%, P < 0.001). Lastly, QFR exhibited a higher area under the receiver operating characteristic curve (0.89) than SPECT (0.57, P < 0.001), PET (0.66, P < 0.001), and CMR (0.60, P < 0.001).

conclusionQFR correlated better with FFR in patients with prior CAD than MPI, as reflected in the higher diagnostic performance measures for detecting FFR-defined, vessel-specific, significant CAD.

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialMyocardial Perfusion ImagingPercutaneous Coronary InterventionCoronary AngiographyHumansPredictive Value of Testscardiac magnetic resonance imagingchronic coronary syndromefractional flow reservepositron emission tomographyquantitative flow ratiosingle-photon emission computed tomography

Identifiers

PMID37578007
PMCPMC10735295
OpenAlexW4385795472

What Socratic 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 Socratic graph.