Evidence map›Paper›PMID 39301820›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2024

The relationship between ethnicity and multiple sclerosis characteristics in the United Kingdom: A UK MS Register study.

Benjamin M Jacobs, Luisa Schalk, Emily Tregaskis-Daniels, Pooja Tank, Sadid Hoque, Michelle Peter, Katherine Tuite-Dalton, James Witts, UK MS Register Study Group, Riley Bove and 1 more

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In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
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  5. Review
  6. Review
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

11 authors.

Benjamin M JacobsCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK Department of Neurology, Royal London Hospital, London, UK.ORCID 0000-0002-6023-6010
Luisa SchalkCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, UK.
Emily Tregaskis-DanielsCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, UK.
Pooja TankCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, UK.
Sadid HoqueCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, UK.
Michelle PeterCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, UK.
Katherine Tuite-DaltonUK MS Register, University of Swansea, Swansea, UK.ORCID 0000-0003-1345-0791
James WittsUK MS Register, University of Swansea, Swansea, UK.
UK MS Register Study Group
Riley BoveUCSF Weill Institute for Neurosciences, UCSF, San Francisco, CA, USA.ORCID 0000-0002-2034-8800
Ruth DobsonCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK Department of Neurology, Royal London Hospital, London, UK.ORCID 0000-0002-2993-585X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have suggested differences in multiple sclerosis (MS) severity according to ethnicity.

methodsData were obtained from the UK MS Register, a prospective longitudinal cohort study of persons with MS. We examined the association between self-reported ethnic background and age at onset, symptom of onset and a variety of participant-reported severity measures. We used adjusted multivariable linear regression models to explore the association between ethnicity and impact of MS, and Cox proportional hazards models to assess disability progression.

resultsWe analysed data from 17,314 people with MS, including participants from self-reported Black (

conclusionWe found no association between ethnic background and MS severity in a large, diverse UK cohort. These findings suggest that other factors, such as socioeconomic status and structural inequalities, may explain previous findings.

Indexed as

Multiple SclerosisRegistriesSeverity of Illness IndexAdultAge of OnsetAsian PeopleBlack PeopleCross-Sectional StudiesDisease ProgressionEthnicityFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesEthnicityhealthcare inequalitymultiple sclerosisseverity

Identifiers

PMID39301820
PMCPMC11520257

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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.