Evidence map›Paper›PMID 35781700›Full record

ArticleEchocardiography (Mount Kisco, N.Y.)2022

Preliminary study of carotid variables under ultrasound analysis as predictors for the risk of coronary arterial atherosclerosis.

Wen-Bin Cai, Yi Wang, Jia Wang, Wan-Gang Guo, Yun-You Duan, Li Zhang

Open access · hybridAbstract read
In one paragraph

Article in Echocardiography (Mount Kisco, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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, 5 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

6 authors at 3 institutions in 1 country.

Wen-Bin CaiDepartment of Ultrasound Diagnostics, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Yi WangDepartment of Ultrasound Diagnostics, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Jia WangDepartment of Ultrasound Diagnostics, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Wan-Gang GuoDepartment of Cardiology, Tangdu Hospital, the Fourth Military Medical University, Xi'an, China.
Yun-You DuanDepartment of Ultrasound Diagnostics, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Li ZhangDepartment of Ultrasound Diagnostics, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.ORCID 0000-0001-8719-4407
Tang Du Hospital · CNShenzhen International Travel Health Care Center · CNTibet Autonomous Region People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarotid atherosclerosis by ultrasound scanning can be considered as an ideal window to reflect systemic artery atherosclerosis, which has aroused wide concern for predicting the severity of coronary artery atherosclerosis clinically. Ultrasound radio frequency (RF) data technology has enabled us to evaluate the carotid structure and elastic function precisely, for predicting the severity of coronary artery atherosclerosis.

methodsPatients with suspected coronary artery disease (CAD) underwent coronary angiography and were assigned to four groups according to whether atherosclerotic plaque was found or not and it caused stenosis. Carotid artery intima-media thickness (IMT) and arterial stiffness were investigated by quality intima-media thickness (QIMT) and quality arterial stiffness (QAS) techniques during ultrasound scanning. Univariable and multivariable modeling were used to investigate correlations of carotid parameters to coronary artery atherosclerosis. Receive operating characteristic (ROC) curves were used to evaluate diagnostic performance of these ultrasound variables.

resultsCarotid IMT and stiffness variables pulse wave velocity (PWV), α, β and compliance coefficient (CC) were statistically different between every two-group's comparisons. IMT correlated with stiffness variables significantly with r = 0.70, 0.77, 0.63, and -0.39, respectively. All variables correlated with the severity of coronary atherosclerosis with the odd ratio (OR) of 1.73, 1.67, 1.19, 1.23, and 0.56 accordingly as IMT, PWV, α, β and CC were concerned. The AUC of IMT, PWV, α, β and CC were 0.9257, 0.8910, 0.8016, 0.9383, 0.8581 with correctly classified rate of 88.16%, 83.77%, 78.07%, 86.84%, and 81.58%, respectively.

conclusionsCarotid artery IMT and stiffness variable PWV, α, β and CC presented favorable predicting and differentiating values for patients with coronary atherosclerosis of different severity.

Indexed as

AtherosclerosisCoronary Artery DiseaseCarotid ArteriesCarotid Intima-Media ThicknessHumansPulse Wave Analysisangiographyatherosclerosis stiffnesscoronary artery diseaseintima-media thicknessultrasound

Identifiers

PMID35781700
PMCPMC9544001
OpenAlexW4283799477

What OpenQuestion holds

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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.