Evidence map›Paper›PMID 34476125›Full record

ArticleNeurology. Clinical practice2021

How Multiple Sclerosis Symptoms Vary by Age, Sex, and Race/Ethnicity.

Ilya Kister, Tamar Bacon, Gary R Cutter

Open access · hybridAbstract read
In one paragraph

Article in Neurology. Clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 71 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

3 authors at 1 institution in 1 country.

Ilya KisterNYU Multiple Sclerosis Comprehensive Care Center (IK, TB), NYU Langone Medical Center, NY; and Department of Biostatistics (GRC), UAB School of Public Health, Birmingham, AL.ORCID 0000-0003-3549-949X
Tamar BaconNYU Multiple Sclerosis Comprehensive Care Center (IK, TB), NYU Langone Medical Center, NY; and Department of Biostatistics (GRC), UAB School of Public Health, Birmingham, AL.ORCID 0000-0002-5118-8977
Gary R CutterNYU Multiple Sclerosis Comprehensive Care Center (IK, TB), NYU Langone Medical Center, NY; and Department of Biostatistics (GRC), UAB School of Public Health, Birmingham, AL.ORCID 0000-0002-8455-980X
Alabama Department of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLittle is known about how symptom severity in the various neurologic domains commonly affected by multiple sclerosis (MS) varies by age, sex, and race/ethnicity.

methodsThis was a retrospective study of patients with MS attending 2 tertiary centers in the New York City metropolitan area, who self-identified as White, African American (AA), or Hispanic American (HA). Disability was rated with Patient-Determined Disability Steps (PDDS) and symptom severity, with SymptoMScreen (SyMS), a validated battery for assessing symptoms in 12 domains. Analyses comparing race, sex, and age groups were performed using analysis of variance models and Tukey honestly significant difference tests to control the overall type I error. A multivariable model was constructed to predict good self-rated health (SRH) that included demographic variables, PDDS, and SyMS domain scores.

resultsThe sample consisted of 2,622 patients with MS (age 46.4 years; 73.6% female; 66.4% White, 21.7% AA, and 11.9% HA). Men had higher adjusted PDDS than women (

conclusionsAA and HA race/ethnicity was associated with higher overall disability, higher symptom severity in each of the 12 domains commonly affected by MS, and worse SRH relative to Whites. However, only symptom severity and disability, and not demographic variables, predicted good SRH.

Identifiers

PMID34476125
PMCPMC8382423
OpenAlexW3171973082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.