Evidence map›Paper›PMID 36913125›Full record

ArticleJournal of cardiovascular translational research2023

Functional Assessment of Coronary Artery Stenosis from Coronary Angiography and Computed Tomography: Angio-FFR vs. CT-FFR.

Xueqiang Guan, Dan Song, Changling Li, Yumeng Hu, Xiaochang Leng, Xiaosheng Sheng, Lifang Bao, Yibin Pan, Liang Dong, Jun Jiang and 2 more

Abstract read
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In one paragraph

Article in Journal of cardiovascular translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.6field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 5 institutions in 1 country.

Xueqiang GuanDepartment of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Dan SongDepartment of Cardiology, Wuhan Asia Heart Hospital, Wuhan, China.
Changling LiDepartment of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yumeng HuArteryFlow Technology Co., Ltd., Hangzhou, China.ORCID http://orcid.org/0000-0002-0779-9172
Xiaochang LengArteryFlow Technology Co., Ltd., Hangzhou, China.
Xiaosheng ShengDepartment of Cardiology, Jinhua People's Hospital, Jinhua, China.
Lifang BaoDepartment of Electrophysiology, Jinhua Municipal Central Hospital, Jinhua, China.
Yibin PanDepartment of Cardiology, Jinhua Municipal Central Hospital, Jinhua, China.
Liang DongDepartment of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jun JiangDepartment of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jianping XiangArteryFlow Technology Co., Ltd., Hangzhou, China.
Wenbing JiangDepartment of Cardiology, The Third Clinical Institute Affiliated to Wenzhou Medical University, Wenzhou, China. jiangwenbing163126@163.com.
Second Affiliated Hospital of Zhejiang University · CNJinhua Central Hospital · CNWenzhou Medical University · CNJinhua Academy of Agricultural Sciences · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to compare the diagnostic performance of angio-FFR and CT-FFR for detecting hemodynamically significant coronary stenosis. Angio-FFR and CT-FFR were measured in 110 patients (139 vessels) with stable coronary disease using invasive FFR as the reference standard. On per-patient basis, angio-FFR was highly correlated with FFR (r =0.78, p <0.001), while the correlation was moderate between CT-FFR and FFR (r =0.68, p <0.001). Diagnostic accuracy, sensitivity, and specificity for angio-FFR were 94.6%, 91.4%, and 96.0%, respectively; and those of CT-FFR were 91.8%, 91.4%, and 92%, respectively. Bland-Altman analysis showed that angio-FFR had a larger average difference and a smaller root mean squared deviation than CT-FFR compared with FFR (-0.014±0.056 vs. 0.0003±0.072). Angio-FFR had a slightly higher AUC than that of CT-FFR (0.946 vs. 0.935, p =0.750). Angio-FFR and CT-FFR computed from coronary images could be accurate and efficient computational tools for detecting lesion-specific ischemia of coronary artery stenosis. Angio-FFR and CT-FFR calculated based on the two types of images can both accurately diagnose functional ischemia of coronary stenosis. CT-FFR can act as a gatekeeper to the catheter room, assisting doctors in determining whether patients need to be screened by coronary angiography. Angio-FFR can be used in the catheter room to determine the functional significant stenosis for helping decision-making in revascularization.

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedAngio-FFRCoronary artery diseaseCT-FFRFractional flow reserve

Identifiers

PMID36913125
OpenAlexW4324018668

What OpenQuestion holds

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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.