Evidence map›Paper›PMID 29512413›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2019

Evaluation of brain lesion distribution criteria at disease onset in differentiating MS from NMOSD and MOG-IgG-associated encephalomyelitis.

Jae-Won Hyun, So-Young Huh, Hyun-June Shin, Mark Woodhall, Su-Hyun Kim, Sarosh R Irani, Sang Hyun Lee, Patrick Waters, Ho Jin Kim

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

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  10. Brain lesion distribution criteria distinguish demyelinating diseases in China.Annals of clinical and translational neurology · 2019
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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

9 authors at 3 institutions in 2 countries.

Jae-Won HyunDepartment of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.
So-Young HuhDepartment of Neurology, College of Medicine, Kosin University, Busan, Korea.
Hyun-June ShinDepartment of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.
Mark WoodhallAutoimmune Neurology group, Nuffield Department of Clinical Neurosciences and Oxford University, Oxford, UK.
Su-Hyun KimDepartment of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.
Sarosh R IraniAutoimmune Neurology group, Nuffield Department of Clinical Neurosciences and Oxford University, Oxford, UK.
Sang Hyun LeeDepartment of Radiology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.
Patrick WatersAutoimmune Neurology group, Nuffield Department of Clinical Neurosciences and Oxford University, Oxford, UK.
Ho Jin KimDepartment of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.
National Cancer Center · KRUniversity of Oxford · GBKosin University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to evaluate the utility of the recently described brain lesion distribution criteria to differentiate multiple sclerosis (MS) from aquaporin-4 immunoglobulin G-positive neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein immunoglobulin G-associated encephalomyelitis (MOG-EM) at disease onset in an Asian cohort.

methodsA total of 214 patients who fulfilled the published criteria for MS, NMOSD, or MOG-EM and underwent brain magnetic resonance imaging (MRI) within 3 months of disease onset were enrolled. The brain lesion distribution criteria were defined as the presence of a lesion adjacent to the body of the lateral ventricle and in the inferior temporal lobe, or an S-shaped U-fiber lesion, or a Dawson's finger-type lesion.

resultsBrain lesions were identified in the initial MRI scans of 166/214 patients. The distribution criteria were applied to these scans (MS ( n = 94), NMOSD ( n = 64), and MOG-EM ( n = 8)). The sensitivity, specificity, and positive and negative predictive values of the criteria for MS versus NMOSD were 79.8%, 87.5%, 90.4%, and 74.7%, and for MS versus MOG-EM these were 79.8%, 100%, 100%, and 29.6%, respectively.

conclusionThese findings suggest that the brain lesion distribution criteria are helpful in distinguishing MS from NMOSD and MOG-EM in an Asian population, even at disease onset.

Indexed as

AdultAsian PeopleAutoantibodiesDiagnosis, DifferentialEncephalomyelitisFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisMyelin-Oligodendrocyte GlycoproteinNeuroimagingNeuromyelitis OpticaSensitivity and SpecificityAutoantibodiesMOG protein, humanMyelin-Oligodendrocyte GlycoproteinbrainMRIMultiple sclerosisneuromyelitis optica spectrum disorder

Identifiers

PMID29512413
PMCPMC6425520
OpenAlexW2791340366

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Registered trials

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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.