Evidence map›Paper›PMID 33384576›Full record

ArticleFrontiers in neuroscience2020

Preliminary Study of Subclinical Brain Alterations in Patients With Asymptomatic Carotid Vulnerable Plaques Using Intravoxel Incoherent Motion Imaging by Voxelwise Comparison: A Study of Whole-Brain Imaging Measures.

Jiuqing Guo, Lirong OuYang, Xiaoyi Wang, Weihua Liao, Qing Huang, Wei He, Gaofeng Zhou, Shuai Yang

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

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Jiuqing GuoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Lirong OuYangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Xiaoyi WangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Weihua LiaoDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Qing HuangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Wei HeDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Gaofeng ZhouDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Shuai YangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo preliminarily explore subclinical brain alterations in an asymptomatic carotid vulnerable plaque group based on intravoxel incoherent motion (IVIM) imaging through voxelwise comparison in the whole brain. MATERIALS AND

methodsForty-nine elderly participants underwent multi-

resultsFor the test group, the

conclusionThis study was the first to detect subclinical brain alterations in asymptomatic carotid vulnerable plaque group through IVIM using whole-brain voxelwise comparisons, which were partially correlated with blood pressure and lipids. Thus, IVIM might be utilized as a noninvasive biomarker of microvascular and microstructural brain changes in the asymptomatic carotid vulnerable plaque group.

Indexed as

carotid arterydouble-exponential modelintravoxel incoherent motion imagingmulti-b-value DWIvulnerable plaque

Identifiers

PMID33384576
PMCPMC7770145
OpenAlexW3110673203

What OpenQuestion holds

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LicenceCC BY
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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.