Evidence map›Paper›PMID 40280707›Full record

ArticleAJNR. American journal of neuroradiology2025

Plaque-Reporting and Data System Related to Cerebrovascular Event Risk with Mild/Moderate Stenosis: A Chinese Atherosclerosis Risk Evaluation II Study.

Maoxue Wang, Yin Guo, Daniel S Hippe, Xihai Zhao, Chun Yuan, Luca Saba, Bing Zhang, Mahmud Mossa-Basha

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02017756 (A Phase II Study of Chinese Atherosclerosis Risk Evaluation), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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.

NCT02017756 unknown statusnot on this map

A Phase II Study of Chinese Atherosclerosis Risk Evaluation: Investigation of Carotid Atherosclerotic Disease in Patients With Ischemic Cerebrovascular Events

TypeobservationalSponsorTsinghua UniversityRan2012 to 2014Enrolled1,000ConditionsIschemic Stroke, Transient Ischemic Attack, Carotid Atherosclerotic Disease
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Clinical implications of vessel wall imaging-State-of-the-art review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Review
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

8 authors.

Maoxue WangFrom the Department of Radiology (M.W., M.M.-B.), University of Washington, Seattle, Washington.ORCID https://orcid.org/0000-0003-1515-3133
Yin GuoDepartment of Bioengineering (Y.G.), University of Washington, Seattle, Washington.ORCID https://orcid.org/0000-0002-6006-9849
Daniel S HippeClinical Research Division (D.S.H.), Fred Hutchinson Cancer Center, Seattle, Washington.ORCID https://orcid.org/0000-0003-2427-4404
Xihai ZhaoDepartment of Biomedical Engineering (X.Z.), Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China.ORCID https://orcid.org/0000-0001-8953-0566
Chun YuanDepartment of Radiology and Imaging Sciences (C.Y.), University of Utah, Salt Lake City, Utah.
Luca SabaDepartment of Radiology (L.S.), University of Cagliari, Cagliari, Italy.
Bing ZhangDepartment of Radiology (M.W., B.Z.), Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-3953-0290
Mahmud Mossa-BashaFrom the Department of Radiology (M.W., M.M.-B.), University of Washington, Seattle, Washington mmossab@uw.edu.ORCID https://orcid.org/0000-0001-7798-8158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposePlaque-Reporting and Data System (Plaque-RADS) provides a standardized approach for evaluating carotid plaque morphology and composition. The aim of this study was to evaluate carotid Plaque-RADS and its relationship to clinical risk factors and ipsilateral cerebrovascular symptoms, in a prospectively-acquired multicenter, vessel wall MRI data set. MATERIALS AND

methodsSymptomatic patients were recruited from the Chinese Atherosclerosis Risk Evaluation, NCT02017756 (CARE-II) study. This cross-sectional study included patients with recent stroke or TIA and atherosclerotic plaques in at least 1 carotid artery. Lipid-rich necrotic core, ulceration, intraplaque hemorrhage, a thick or thin fibrous cap, fibrous cap rupture, and intraluminal thrombi were identified from multiple-contrast vessel wall imaging and were used to determine carotid Plaque-RADS. In addition, ancillary features including calcification and plaque burden via the maximum normalized wall index (max-NWI) were collected. The degree of stenosis was classified as mild (<30%), moderate (30%-69%), and severe (70%-99%). Generalized estimating equation-based logistic regression was performed to assess the relationship between the Plaque-RADS score and cerebrovascular events.

resultsA total of 433 patients (62 [SD, 9.97] years, 302 men [69.7%]) with 866 carotid arteries were included in this study. Symptomatic carotid arteries had a higher stenosis degree (11.8% [SD, 24.7%] versus 8.6% [SD, 18.8%];

conclusionsMale patients of advanced age with a smoking history were associated with an increased risk of higher Plaque-RADS scores. Plaque-RADS demonstrated the ability to stratify patients experiencing cerebrovascular events, even in cases with mild-to-moderate stenosis. However, this association lost statistical significance after adjusting for stenosis or max-NWI.

Indexed as

Carotid StenosisCerebrovascular DisordersMagnetic Resonance AngiographyPlaque, AtheroscleroticStrokeAgedChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedReproducibility of ResultsRisk AssessmentRisk Factors

Identifiers

PMID40280707
PMCPMC12629585

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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.