Evidence map›Paper›PMID 29308915›Full record

ArticleThe British journal of radiology2018

Carotid artery ultrasound texture, cardiovascular risk factors, and subclinical arterial disease: the Multi-Ethnic Study of Atherosclerosis (MESA).

Carol C Mitchell, Claudia E Korcarz, Matthew C Tattersall, Adam D Gepner, Rebekah L Young, Wendy S Post, Joel D Kaufman, Robyn L McClelland, James H Stein

Registry-linked trialAbstract read
In one paragraph

Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04382963 (Stroke Prevention in the Wisconsin Native American Population), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 7% 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.

NCT04382963 nacompletednot on this mapstarted 2021, after this paper: background citation

Stroke Prevention in the Wisconsin Native American Population

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2021 to 2025Enrolled120ConditionsStroke, AtherosclerosisArmsHigh Risk - intensive coaching, High Risk - standard care, Low Risk - control
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Diabetic vasculopathy: macro and microvascular injury.Current pathobiology reports · 2020
    Article
  11. Changes in carotid artery structure with smoking cessation.Vascular medicine (London, England) · 2019
    Article
  12. Article
  13. Influence of Ultrasound System and Gain on Grayscale Median Values.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2019
    Article
  14. Article
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 3 institutions in 1 country.

Carol C Mitchell1 Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health , Madison, WI , USA.
Claudia E Korcarz1 Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health , Madison, WI , USA.
Matthew C Tattersall1 Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health , Madison, WI , USA.
Adam D Gepner1 Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health , Madison, WI , USA.
Rebekah L Young2 Department of Biostatistics, University of Washington , Seattle, WA , USA.
Wendy S Post3 Department of Medicine, Division of Cardiology , Johns Hopkins Hospital , Baltimore, MD , USA.
Joel D Kaufman4 Departments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology, University of Washington , Seattle, WA , USA.
Robyn L McClelland2 Department of Biostatistics, University of Washington , Seattle, WA , USA.
James H Stein1 Department of Medicine, Division of Cardiovascular Medicine, University of Wisconsin School of Medicine and Public Health , Madison, WI , USA.
University of Wisconsin–Madison · USUniversity of Washington · USJohns Hopkins Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis pilot study determined if the ultrasound texture feature "contrast" was associated with cardiovascular disease (CVD) risk factors and subclinical arterial disease.

methodsWe evaluated ultrasound images of the right common carotid artery (CCA) from a convenience sample of 151 participants and examined relationships between contrast, CVD risk factors, carotid intima-media thickness (IMT) and coronary artery calcium (CAC). Grey level difference statistics algorithms were used to evaluate the texture feature "contrast" from carotid ultrasound images. Right CCA IMT measurements were made in triplicate in the distal 1 cm segment of the far wall of the artery and CAC score was measured using the Agatston scoring method.

resultsIn individual models that included age, sex and race, grey level difference statistics contrast (outcome) was associated independently with age [beta (standard error) = -0.87 (0.38) per year; p = 0.02], C-reactive protein [-2.22 (0.96) per mg dl

conclusionThese findings support the potential use of the ultrasound texture contrast for evaluating arterial injury and CVD risk. Advances in knowledge: This paper contributes to the literature in that it describes how the greyscale texture feature "contrast" is related to CVD risk factors.

Indexed as

Carotid Intima-Media ThicknessAgedAged, 80 and overAlgorithmsAtherosclerosisCardiovascular DiseasesCarotid Artery, CommonFemaleHumansMaleMiddle AgedPilot ProjectsRisk FactorsVascular Calcification

Identifiers

PMID29308915
PMCPMC5965992
OpenAlexW2783493780

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.