Evidence map›Paper›PMID 37448745›Full record

ReviewFrontiers in neurology2023

Do magnetic resonance imaging features differ between persons with multiple sclerosis of various races and ethnicities?

Nabeela Nathoo, Burcu Zeydan, Nur Neyal, Cynthia Chelf, Darin T Okuda, Orhun H Kantarci

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Nabeela NathooDivision of Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Burcu ZeydanDivision of Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Nur NeyalDivision of Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Cynthia ChelfMayo Clinic College of Medicine and Science, Library-Public Services, Mayo Clinic, Rochester, MN, United States.
Darin T OkudaDepartment of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, United States.
Orhun H KantarciDivision of Multiple Sclerosis and Autoimmune Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
Mayo Clinic · USMayo Clinic in Arizona · USThe University of Texas Southwestern Medical Center · US

Funding

Sex-Specific Effects of Endocrine Disruption on Aging and Alzheimer's DiseaseU54AG044170 · NIA · MAYO CLINIC ROCHESTER · PI KAPOOR, EKTA · 2018 to 2022
$7.7M
NIA NIH HHS U54 AG044170
6 · The paper itself

Abstract

Those of African American or Latin American descent have been demonstrated to have more severe clinical presentations of multiple sclerosis (MS) than non-Latin American White people with MS. Concurrently, radiological burden of disease on magnetic resonance imaging (MRI) in African Americans with MS has also been described as being more aggressive. Here, we review MRI studies in diverse racial and ethnic groups (adult and pediatric) investigating lesion burden, inflammation, neurodegeneration, and imaging response to disease modifying therapy. We also discuss why such disparities may exist beyond biology, and how future studies may provide greater insights into underlying differences.

Indexed as

African AmericanethnicityLatin Americanmagnetic resonance imagingmultiple sclerosisneuroimagingrace

Identifiers

PMID37448745
PMCPMC10338060
OpenAlexW4382397210

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.