Evidence mapPaperPMID 32968660Full record

ReviewCardiovascular diagnosis and therapy2020

Carotid plaque imaging and the risk of atherosclerotic cardiovascular disease.

Guangming Zhu, Jason Hom, Ying Li, Bin Jiang, Fatima Rodriguez, Dominik Fleischmann, David Saloner, Michele Porcu, Yanrong Zhang, Luca Saba and 1 more

Open access · diamondAbstract readReview
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.1field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
  2. Article
  3. Calcified nodules in the cervical carotid artery.Surgical neurology international · 2026
    Article
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  6. Review
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  16. Review
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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

11 authors at 4 institutions in 3 countries.

Guangming ZhuDepartment of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.
Jason HomDepartment of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Ying LiDepartment of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.
Bin JiangDepartment of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.
Fatima RodriguezDivision of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Palo Alto, CA, USA.
Dominik FleischmannDepartment of Radiology, Cardiovascular Imaging Section, Stanford University School of Medicine, Palo Alto, CA, USA.
David SalonerDepartment of Radiology, University of California San Francisco, San Francisco, CA, USA.
Michele PorcuDipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.
Yanrong ZhangDepartment of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.
Luca SabaDipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.
Max WintermarkDepartment of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA, USA.
Stanford University · USAzienda Ospedaliero-Universitaria Cagliari · ITLuye Pharma (China) · CNUniversity of California, San Francisco · US

Funding

SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHLBI NIH HHS K01 HL144607
6 · The paper itself

Abstract

Carotid artery plaque is a measure of atherosclerosis and is associated with future risk of atherosclerotic cardiovascular disease (ASCVD), which encompasses coronary, cerebrovascular, and peripheral arterial diseases. With advanced imaging techniques, computerized tomography (CT) and magnetic resonance imaging (MRI) have shown their potential superiority to routine ultrasound to detect features of carotid plaque vulnerability, such as intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), fibrous cap (FC), and calcification. The correlation between imaging features and histological changes of carotid plaques has been investigated. Imaging of carotid features has been used to predict the risk of cardiovascular events. Other techniques such as nuclear imaging and intra-vascular ultrasound (IVUS) have also been proposed to better understand the vulnerable carotid plaque features. In this article, we review the studies of imaging specific carotid plaque components and their correlation with risk scores.

Indexed as

atherosclerotic cardiovascular disease (ASCVD)carotid plaqueRadiologyrisk score

Identifiers

PMID32968660
PMCPMC7487384
OpenAlexW3016946377

What Socratic holds

Textmetadata
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 Socratic graph.