Evidence map›Paper›PMID 33706583›Full record

ArticleProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2021

The association of peak systolic velocity in the carotid artery with coronary heart disease: A study based on portable ultrasound.

Carola S König, Mark Atherton, Marco Cavazzuti, Corinna Gomm, Sudarshan Ramachandran

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 3 institutions in 2 countries.

Carola S KönigDepartment of Mechanical and Aerospace Engineering, Brunel University London, England, UK.ORCID https://orcid.org/0000-0002-9289-3154
Mark AthertonDepartment of Mechanical and Aerospace Engineering, Brunel University London, England, UK.ORCID https://orcid.org/0000-0002-3293-4241
Marco CavazzutiDepartment of Mechanical and Aerospace Engineering, Brunel University London, England, UK.ORCID https://orcid.org/0000-0001-6289-9507
Corinna GommDepartment of Clinical Biochemistry, University Hospitals Birmingham Foundation Trust, West Midlands, England, UK.
Sudarshan RamachandranDepartment of Mechanical and Aerospace Engineering, Brunel University London, England, UK.
Brunel University of London · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the highest cause of death globally with more people dying annually from it than from any other cause. CVD is associated with modifiable risk factors (dyslipidaemia, hypertension and diabetes) and treating each of these factors lowers the risk of CVD. It is impossible to estimate the benefit of risk factor modification in the individual patient and extrapolating data from multiple trials is difficult. It would be useful to have a marker of risk that accurately estimates real time risk by measuring blood flow factors associated with the pathogenesis of atheroma. The aim of this preliminary study was to validate a low-cost measurement technique for obtaining blood flow velocity profiles and assess whether any of the measured and calculated factors, based on computational fluid dynamics (CFD) simulation, known to be associated with atheroma was associated with coronary heart disease (CHD), thus establishing its feasibility and acceptability as a clinical tool and suggesting areas for future research. Our study identified (i) that mean peak systolic (PS) velocity being associated with CHD; individuals without CHD: mean (SD) = 62.8 (16.1) cm/s, with CHD: mean (SD)  = 53.6 (17.3) cm/s,

Indexed as

Coronary Artery DiseaseCoronary DiseaseBlood Flow VelocityCarotid ArteriesCarotid Artery, CommonHumansRisk FactorsUltrasonographyCFDcoronary heart diseasepeak systolic velocityUltrasound

Identifiers

PMID33706583
PMCPMC8182338
OpenAlexW3135829777

What OpenQuestion holds

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LicenceCC BY-NC
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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.