Evidence map›Paper›PMID 36747456›Full record

ArticleAnatolian journal of cardiology2023

To Explore the Influencing Factors of Pericoronary Adipose Tissue and Noninvasive Fractional Flow Reserve on the Progression of Coronary Heart Disease Based on 320-Slice Coronary CTA.

Shuming Liu, Huiyuan Guan, Sheng Li

Open access · diamondAbstract read
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Article in Anatolian journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Shuming LiuJinzhou Medical University, Liaoning, China.
Huiyuan GuanDepartment of Medical Imaging Center, Shiyan Renmin Hospital, Hubei University of Medicine, Hubei, China.
Sheng LiJinzhou Medical University, Liaoning, China.
Jinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of the study was to measure pericoronal adipose tissue parameters, fractional flow reserve with coronary artery computed tomographic angiography (CTA), and difference of fractional flow reserve with coronary artery CTA, by using high-performance 320-slice coronary CTA combined with semiautomatic quantitative software and explore the relationship between them and progression of coronary artery disease.

methodsAccording to the inclusion criteria, 118 patients with complete data were selected. According to the results of coronary angiography during follow-up review, the patients were divided into coronary artery disease progression group (n = 43) and coronary artery disease stable group (n = 75), and the clinical baseline data, pericoronal adipose tissue volume, pericoronal adipose tissue fat attenuation index, fractional flow reserve with coronary artery CTA, and difference of fractional flow reserve with coronary artery CTA were compared between the 2 groups. According to univariate and multivariate logistic regression analyses, the risk factors related to coronary artery disease progression were screened out from pericoronal adipose tissue parameters and noninvasive hemodynamic characteristics (fractional flow reserve with coronary artery CTA and difference of fractional flow reserve with coronary artery CTA).

resultsThere was no significant difference in baseline clinical data between the progression group and the stable group (P >.05). The left anterior descending artery-fat attenuation index-40 mm, left anterior descending artery-fat attenuation index-70 mm, left circumflex artery-fat attenuation index-70 mm, right coronary artery-fat attenuation index-70 mm, and difference of fractional flow reserve with coronary artery CTA in the progression group were higher than those in the stable group, while fractional flow reserve with coronary artery CTA was lower than that in the stable group, and the differences were statistically significant (P <.05). After adjusting for several factors, the results showed that left anterior descending artery-fat attenuation index-40 mm (P =.002; odds ratio = 1.237; 95% CI: 1.081-1.415), right coronary artery-fat attenuation index-70 mm (P =.039; odds ratio = 1.119; 95% CI: 1.006-1.246), fractional flow reserve with coronary artery CTA (P =.001; odds ratio = 0.708; 95% CI: 0.581-0.846), and difference of fractional flow reserve with coronary artery CTA (P <.001; odds ratio = 1.846; 95% CI: 1.394-2.445) were related to the progression of coronary artery disease. Compared with the above 5 indicators, the area under curve (AUC) of the above indicators combined is larger (0.897).

conclusionsQuantitative pericoronal adipose tissue parameters and noninvasive hemodynamic characteristics based on 320-slice coronary CTA can be used as the basis for predicting the progression of coronary artery disease.

Indexed as

Coronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialAdipose TissueCoronary AngiographyCoronary VesselsHumansPredictive Value of TestsTomography, X-Ray Computed

Identifiers

PMID36747456
PMCPMC9900413
OpenAlexW4318825231

What OpenQuestion holds

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LicenceCC BY-NC
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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.