Evidence map›Paper›PMID 35935321›Full record

ArticleContrast media & molecular imaging2022

Application of Multimodal Magnetic Resonance Imaging in Green Channel of Acute and Hyperacute Ischemic Stroke.

Jianguo Zhou, Guifen Li, Yun Meng, Dayong Fu, Mingcong Lu, Zhi Tang

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2022. 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
0.8field-weighted citation impact, top 29% 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, 5 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

6 authors at 1 institution in 1 country.

Jianguo ZhouDepartment of Radiology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang 222004, China.
Guifen LiDepartment of Radiology, The Second People's Hospital of Lianyungang, Lianyungang 222006, China.
Yun MengDepartment of Radiology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang 222004, China.
Dayong FuDepartment of Radiology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang 222004, China.
Mingcong LuDepartment of Radiology, Lianyungang Hospital of Traditional Chinese Medicine, Lianyungang 222004, China.
Zhi TangDepartment of Radiology, The First People's Hospital of Guannan County, Lianyungang 222500, China.ORCID 0000-0002-8379-5413
The First People’s Hospital of Lianyungang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to observe the effects of multimodal magnetic resonance imaging (MRI) in the green channel of acute and hyperacute ischemic strokes, in order to better guide clinical treatment. The clinical data of 126 patients with acute and hyperacute ischemic stroke who received interventional treatment in the emergency green channel was collected retrospectively. The patients who received multimodal computed tomography (CT) were included in the CT group. Patients who underwent multimodal MRI examinations were included in the MRI group, and the door-to-needle time (DNT), neurological function, and prognosis of the two groups were compared. The result turned out that among the 126 patients included, 40 patients underwent CT examination (CT group) and 86 patients underwent MRI examination (MRI group). A comparison of general data between the CT group and the MRI group showed

Indexed as

Brain IschemiaIschemic StrokeStrokeHumansMagnetic Resonance ImagingRetrospective StudiesTomography, X-Ray ComputedTreatment Outcome

Identifiers

PMID35935321
PMCPMC9337922
OpenAlexW4286587803

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.