Evidence map›Paper›PMID 33525067›Full record

ArticleKorean circulation journal2021

Association of Quantitative Flow Ratio with Lesion Severity and Its Ability to Discriminate Myocardial Ischemia.

Neng Dai, Doyeon Hwang, Joo Myung Lee, Jinlong Zhang, Yaliang Tong, Ki Hyun Jeon, Jin Chul Paeng, Gi Jeong Cheon, Bon Kwon Koo, Junbo Ge

Open access · hybridAbstract read
In one paragraph

Article in Korean circulation journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
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  4. Comparison of 2D-QCA, 3D-QCA and coronary angiography derived FFR in predicting myocardial ischemia assessed by CZT-SPECT MPI.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  5. Article
  6. Review
  7. Article
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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

10 authors at 6 institutions in 3 countries.

Neng Dai *Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China.ORCID https://orcid.org/0000-0003-3620-0699
Doyeon Hwang *Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-0215-5319
Joo Myung LeeDivision of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2178-4014
Jinlong ZhangDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-4326-5087
Yaliang TongDepartment of Cardiology, China-Japan Union Hospital of Jilin University, Jilin, China.ORCID https://orcid.org/0000-0002-5646-3974
Ki Hyun JeonDepartment of Internal Medicine, Sejong General Hospital, Bucheon, Korea.ORCID https://orcid.org/0000-0002-6277-7697
Jin Chul PaengDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-7464-9342
Gi Jeong CheonDepartment of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-1360-5186
Bon Kwon KooDepartment of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-8188-3348
Junbo GeDepartment of Cardiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China.ORCID https://orcid.org/0000-0002-9360-7332
Seoul National University Hospital · KRFudan University · CNJilin University · CNSamsung Medical Center · KRSejong General Hospital · KRSeoul National University · KR

Funding

China Postdoctoral Science Foundation 2019M650075National Natural Science Foundation of China 81600279
6 · The paper itself

Abstract

BACKGROUND AND

objectivesQuantitative flow ratio (QFR) is an angiography-based technique for functional assessment of coronary artery stenosis. This study investigated the response of QFR to different degree of stenosis severity and its ability to predict the positron emission tomography (PET)-defined myocardial ischemia.

methodsFrom 109 patients with 185 vessels who underwent both 13N-ammonia PET and invasive physiological measurement, we compared QFR, fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) for the responses to the different degree of anatomical (percent diameter stenosis [%DS]) and hemodynamic (relative flow reserve [RFR], coronary flow reserve, hyperemic stenosis resistance, and stress myocardial flow) stenosis severity and diagnostic performance against PET-derived parameters.

resultsQFR, FFR, and iFR showed similar responses to both anatomic and hemodynamic stenosis severity. Regarding RFR, the diagnostic accuracy of QFR was lower than FFR (76.2% vs. 83.2%, p=0.021) and iFR (76.2% vs. 84.3%, p=0.031). For coronary flow capacity (CFC), QFR showed a lower accuracy than iFR (74.1% vs. 82%, p=0.031) and lower discriminant function than FFR (area under curve: 0.74 vs. 0.79, p=0.044). Discordance between QFR and FFR or iFR was shown in 14.6% of cases and was driven by the difference in %DS and heterogeneous distribution of PET-derived RFR and stress myocardial blood flow.

conclusionsQFR demonstrated a similar response to different anatomic and hemodynamic stenosis severity as FFR or iFR. However, its diagnostic performance was inferior to FFR and iFR when PET-derived RFR and CFC were used as a reference.

Indexed as

Coronary artery diseaseMyocardial ischemiaPositron emission tomography

Identifiers

PMID33525067
PMCPMC7853889
OpenAlexW3116170636

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.