Evidence map›Paper›PMID 25369320›Full record

ArticlePloS one2014

Detection of subclinical atherosclerosis in asymptomatic subjects using ultrasound radiofrequency-tracking technology.

Lili Niu, Yanling Zhang, Long Meng, Yang Xiao, Kelvin K L Wong, Derek Abbott, Hairong Zheng, Rongqin Zheng, Ming Qian

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Evaluating arterial stiffness in type 2 diabetes patients using ultrasonic radiofrequency.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2016
    Observational
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

9 authors at 5 institutions in 2 countries.

Lili NiuPaul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yanling ZhangDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Long MengPaul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yang XiaoPaul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Kelvin K L WongCentre for Biomedical Engineering, and School of Electrical & Electronic Engineering, University of Adelaide, Adelaide, Australia.
Derek AbbottCentre for Biomedical Engineering, and School of Electrical & Electronic Engineering, University of Adelaide, Adelaide, Australia.
Hairong ZhengPaul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Rongqin ZhengDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ming QianPaul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Chinese Academy of Sciences · CNUniversity of Adelaide · AUShenzhen Institutes of Advanced Technology · CNSun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAtherosclerosis is a chronic and systemic disease and its developmental process involves the synergism of multiple risk factors such as hypertension, dyslipidemia, diabetes, obesity and smoking. The diagnosis of subclinical atherosclerosis is essential for strategic guidance towards suitable treatments and efficient prevention against acute cardiovascular events. This study employed ultrasound radiofrequency (RF) tracking technology to characterize human carotid arteries in vivo in terms of intima-media thickness (IMT) and artery stiffness, and evaluated the statistical correlation between carotid IMT and stiffness, and the number of risk factors for atherosclerosis.

methodsA total of 160 asymptomatic subjects were enrolled. Ultrasound RF-tracking technology was employed to acquire carotid IMT and stiffness parameters: maximum IMT ((MAX)IMT), RF Quality IMT ((RF)QIMT), distensibility coefficient (DC), compliance coefficient (CC), αindex, β index and local pulse wave velocity (PWVβ). The subjects were categorized in four groups in terms of the number of risk factors: 'zero', 'single', 'double', and 'multiple', and statistical analyses of carotid IMT and stiffness parameters were performed between these different groups.

resultsThe subjects (n = 145) with (MAX)IMT smaller than 1.0 mm matched the IMT criteria for non-atherosclerosis and were named as NA-subjects. Spearman's rho correlation analysis of the whole group and the NA-subjects both showed that (MAX)IMT correlated positively with (RF)QIMT, α, β, and PWVβ, and negatively with DC and CC (p<0.01). The analysis of covariance of NA-subjects showed significant differences between subjects with and without risk factors, and also showed significant differences between the 'zero', 'single', 'double', and 'multiple' groups.

conclusionsThe carotid IMT and stiffness parameters obtained by the ultrasound RF-tracking technology were demonstrated to possess significant statistical correlation with the number of risk factors from 160 subjects, and these anatomical and mechanical parameters may potentially be used together with the IMT criteria to support subclinical atherosclerosis diagnosis.

Indexed as

AdolescentAdultAgedAsymptomatic DiseasesAtherosclerosisCarotid Intima-Media ThicknessFemaleHumansMaleMiddle AgedPulse Wave AnalysisRisk FactorsVascular StiffnessYoung Adult

Identifiers

PMID25369320
PMCPMC4219816
OpenAlexW2064954791

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.