Evidence mapPaperPMID 35360267Full record

ArticleContrast media & molecular imaging2022

Magnetic Resonance Image in Monitor and Diagnosis of Patients with Neuromyelitis Optica.

Shujuan Lu, Dongming Wang, Fengxian Zhang, Meilan Liu

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Shujuan LuDepartment of Imaging, Shanting District People's Hospital, 528 Xicheng Beijing Road, Shanting District, Zaozhuang 277200, Shandong, China.ORCID 0000-0002-1801-4940
Dongming WangDepartment of CT/MRI, Tengzhou Traditional Chinese Medicine Hospital, No. 52 Shangguozhong Road, Tengzhou, Zaozhuang 277500, Shandong, China.ORCID 0000-0003-2425-864X
Fengxian ZhangDepartment of Imaging, New Hospital District of People's Hospital of Sishui County, The Intersection of Shenghua Road and Quan Road, Sishui County, Jining 273200, Shandong, China.ORCID 0000-0001-6400-8544
Meilan LiuDepartment of Imaging, New Hospital District of Zaozhuang Traditional Chinese Medicine Hospital, 2666 Taihang Mountain Road, Xuecheng District, Zaozhuang 277100, Shandong, China.ORCID 0000-0002-0645-7840
Zaozhuang Municipal Hospital · CNJingning County People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was aimed to investigate the craniocerebral magnetic resonance imaging (MRI) measurement and clinical characteristics of patients with neuromyelitis optica (NMO) and multiple sclerosis (MS). 50 patients with NMO (NMO group) and 50 patients with MS (MS group) were studied. The clinical manifestations, brain injury morphology, MRI signal characteristics, brain distribution characteristics, and related laboratory tests (serum aquaporin 4 [AQP4] antibody) were statistically analyzed. The results showed that the analysis of clinical manifestations of patients revealed that optic neuritis (37 cases) was the most common disease in NMO patients, and myelitis (16 cases) was more common in MS patients than NMO patients. There were significant differences in gender ratio, abnormal expression of brain MR1, positive serum AQP4-IgG, and other immune diseases and symptoms between the two groups (

Indexed as

Multiple SclerosisNeuromyelitis OpticaAquaporin 4HumansMagnetic Resonance ImagingSpinal CordAquaporin 4

Identifiers

PMID35360267
PMCPMC8947891
OpenAlexW4221085137

What Socratic 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 Socratic graph.