Evidence map›Paper›PMID 31737519›Full record

ArticleCardiovascular diagnosis and therapy2019

Accuracy of 3-dimensional and 2-dimensional quantitative coronary angiography for predicting physiological significance of coronary stenosis: a FAVOR II substudy.

Daixin Ding, Junqing Yang, Jelmer Westra, Yundai Chen, Yunxiao Chang, Martin Sejr-Hansen, Su Zhang, Evald H Christiansen, Niels R Holm, Bo Xu and 1 more

Open access · diamondAbstract read
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Article in Cardiovascular diagnosis and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Daixin DingBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Junqing YangDepartment of Cardiology, Guangdong Provincial People's Hospital, Guangzhou 510055, China.
Jelmer WestraDepartment of Cardiology, Aarhus University Hospital, Skejby, Denmark.
Yundai ChenDepartment of Cardiology, PLA General Hospital, Beijing 100853, China.
Yunxiao ChangBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Martin Sejr-HansenDepartment of Cardiology, Aarhus University Hospital, Skejby, Denmark.
Su ZhangBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Evald H ChristiansenDepartment of Cardiology, Aarhus University Hospital, Skejby, Denmark.
Niels R HolmDepartment of Cardiology, Aarhus University Hospital, Skejby, Denmark.
Bo XuFu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Beijing 100037, China.
Shengxian TuBiomedical Instrument Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China.
Aarhus University Hospital · DKShanghai Jiao Tong University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese PLA General Hospital · CNGuangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional quantitative coronary angiography (3D-QCA) enables reconstruction of a coronary artery in 3D from two angiographic image projections. This study compared the diagnostic accuracy of 3D-QCA

methodsAll interrogated vessels in the FAVOR II China study and the FAVOR II Europe-Japan study were assessed by 2D-QCA and 3D-QCA according to standard operating procedures in core laboratories. QCA analysts were blinded to the corresponding FFR values.

resultsA total of 645 vessels from 576 patients with 3D-QCA, 2D-QCA, and FFR were analyzed. Using the conventional cut-off value of 50% for percent diameter stenosis (DS%), 3D-QCA was more accurate in predicting FFR ≤0.80 than 2D-QCA [accuracy 74.0% (95% CI: 69.9-77.7%)

conclusions3D-QCA demonstrated better diagnostic performance in predicting physiologically significant coronary stenosis compared with 2D-QCA, when FFR was used as the reference standard.

Indexed as

Coronary physiologyfractional flow reserve (FFR)ischemiaquantitative coronary angiography (QCA)

Identifiers

PMID31737519
PMCPMC6837915
OpenAlexW2980260531

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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.