Evidence map›Paper›PMID 31444596›Full record

ArticleEuropean radiology2020

Diagnostic performance of perivascular fat attenuation index to predict hemodynamic significance of coronary stenosis: a preliminary coronary computed tomography angiography study.

Mengmeng Yu, Xu Dai, Jianhong Deng, Zhigang Lu, Chengxing Shen, Jiayin Zhang

Abstract read
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In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  15. The Role of Cardiac Computed Tomography Angiography in Risk Stratification for Coronary Artery Disease.Journal of the Society for Cardiovascular Angiography & Interventions · 2024
    Review
  16. Pericoronary adipose tissue for predicting long-term outcomes.European heart journal. Cardiovascular Imaging · 2024
    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

6 authors at 1 institution in 1 country.

Mengmeng YuInstitute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Rd, Shanghai, China.
Xu DaiInstitute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Rd, Shanghai, China.
Jianhong DengInstitute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Rd, Shanghai, China.
Zhigang LuDepartment of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Rd, Shanghai, China.
Chengxing ShenDepartment of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Rd, Shanghai, China.
Jiayin ZhangInstitute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Rd, Shanghai, China. andrewssmu@msn.com.ORCID http://orcid.org/0000-0001-7383-7571
Shanghai Jiao Tong University · CN

Funding

National Natural Science Foundation of China 81671678Shanghai Key Discipline of Medical Imaging 2017ZZ02005Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support 20161428
6 · The paper itself

Abstract

objectiveThis study aimed to investigate the association between perivascular fat attenuation index (FAI) and hemodynamic significance of coronary lesions.

methodsPatients with stable angina who underwent coronary computed tomography (CT) angiography and invasive fractional flow reserve (FFR) measurement within 2 weeks were retrospectively included. Lesion-based perivascular FAI, high-risk plaque features, total plaque volume (TPV), machine learning-based FFR

resultsThis study included 167 patients with 219 lesions. Diameter stenosis (DS), lesion length, TPV, and perivascular FAI were significantly larger or longer in the group of hemodynamically significant lesions (FFR ≤ 0.8). In addition, smaller FFR

conclusionsPerivascular FAI was significantly higher for flow-limiting lesions than for non-flow-limiting lesions. The combined use of FAI, TPV, and DS could predict ischemic coronary stenosis with high diagnostic accuracy. KEY POINTS: • Perivascular FAI was significantly higher for flow-limiting lesions than for non-flow-limiting lesions. • Combined use of FAI, plaque volume, and DS provided diagnostic performance comparable to that of machine learning-based FFR

Indexed as

Adipose TissueAngina, StableArea Under CurveComputed Tomography AngiographyCoronary AngiographyCoronary StenosisFemaleFractional Flow Reserve, MyocardialHemodynamicsHumansMaleMiddle AgedPlaque, AtheroscleroticRetrospective StudiesAdipose tissueAtheromaComputed tomography angiographyCoronary artery diseaseMyocardial fractional flow reserve

Identifiers

PMID31444596
OpenAlexW2969575405

What OpenQuestion holds

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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 OpenQuestion graph.