Evidence map›Paper›PMID 31341846›Full record

ArticleIranian journal of public health2019

Comparison of Predictive Ability of Computed Tomography and Magnetic Resonance Imaging in Patients with Carotid Atherosclerosis Complicated with Stroke.

Jianfeng Zhou, Hongling Chen, Tao Yang, Cuihong Xing, Fengxia Jia

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 3 institutions in 1 country.

Jianfeng ZhouDepartment of Imaging, Linyi Central Hospital, Linyi 276400, P.R. China.
Hongling ChenDepartment of Endocrinology, Linyi Central Hospital, Linyi 276400, P.R. China.
Tao YangDepartment of Imaging, Linyi Central Hospital, Linyi 276400, P.R. China.
Cuihong XingDepartment of Medical Ward, The People's Hospital of Zhangqiu Area, Jinan 250200, P.R. China.
Fengxia JiaDepartment of Neurosurgery, Juxian People's Hospital, Rizhao 276599, P.R. China.
Linyi People's Hospital · CNPeople’s Hospital of Rizhao · CNZhangqiu City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the characterizations of CT (computed tomography) and MRI (magnetic resonance imaging) in patients with carotid atherosclerosis.

methodsA retrospective analysis was performed on the medical records of 264 patients with carotid atherosclerosis underwent CT and MRI in Linyi Central Hospital, Linyi, China from January 2010 to January 2016. Among them, 142 patients with ischemic stroke were in experimental group (test group), another 122 patients in control group. The lumen stenosis degree, plaque fibrous cap status, calcification information and vascular plaque hemorrhage in the carotid artery fork of patients detected by CT and MRI were collected.

resultsThe detection rate of the plaque calcification of patients detected by MRI was lower than that detected by CT in the experimental group (

conclusionPatients with carotid atherosclerotic complicated with stroke have higher plaque calcification number, vascular stenosis degree and unstable fibrous cap number. Both CT and MRI can better predict the risk of stroke.

Indexed as

Carotid atherosclerosisChinaComputed tomographyStroke

Identifiers

PMID31341846
PMCPMC6635344
OpenAlexW2954347438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.