Evidence map›Paper›PMID 40258207›Full record

ArticleNeurology2025

Racial Inequities, Multiple Sclerosis, and Implementation of a Novel Treatment Algorithm at the Health System Level.

Annette Langer-Gould, Bonnie H Li, Jessica B Smith, Michael H Kanter, Kirsten R Choi, Stanley Xu

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Predictors of high- versus low-intensity first-line multiple sclerosis treatments.Multiple sclerosis journal - experimental, translational and clinical
    Article
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.

Annette Langer-GouldDepartment of Neurology, Los Angeles Medical Center, Southern California Permanente Medical Group.ORCID 0000-0001-6891-7147
Bonnie H LiDepartment of Research and Evaluation, Southern California Permanente Group, Pasadena.ORCID 0000-0002-2735-359X
Jessica B SmithDepartment of Research and Evaluation, Southern California Permanente Group, Pasadena.ORCID 0000-0001-6585-323X
Michael H KanterDepartment of Clinical Science, Bernard J. Tyson School of Medicine, Pasadena, CA.
Kirsten R ChoiDepartment of Research and Evaluation, Southern California Permanente Group, Pasadena.
Stanley XuDepartment of Research and Evaluation, Southern California Permanente Group, Pasadena.ORCID 0000-0002-4750-7672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAdvances in multiple sclerosis (MS) have not translated into equitable improvements in MS treatment or outcomes among minoritized people. Our objective was to determine whether a health system intervention designed to increase use of highly efficacious treatments (HETs) was implemented equitably and led to similar improvements in MS outcomes across racial and ethnic groups.

methodsWe designed and implemented an MS treatment algorithm that aligns a person's risk of disability with appropriately efficacious disease-modifying therapies (DMTs) and incorporates social determinants of health and patient preferences that can adversely affect adherence but does not include race or ethnicity. We used Kaiser Permanente Southern California's electronic health record to conduct a trend study of DMT utilization and annual relapse rates (ARRs) stratified by race and ethnicity before (2009-2011) and during (2012-2023) implementation of the treatment algorithm.

resultsWe identified 6,119 (978 Black, 1741 Hispanic, 3,400 White) DMT-treated patients with MS (mean age = 50.1 years, 75.4% female) during the study period. Before implementation, Hispanic DMT-treated patients had significantly higher ARRs per 1,000 person-years (PY) (245.1, 95%CI 205.5-284.8) compared with White DMT-treated patients (156.3, 95%CI 137.8-174.7). Black people had higher ARRs compared with White people before and during early implementation, but this difference was significant only in 2015. Over the 12 years of implementation, the increase in HET use (primarily rituximab) among DMT-treated patients with MS was highest among Hispanic people, followed by Black and White people (89.3%, 87.4%, and 82.9% in 2023, respectively). The corresponding decline in age-adjusted and sex-adjusted ARR (linear spline regression) was greatest among Hispanic (90%, 95% CI 89%-91%), followed by White (86%, 95% CI 85%-87%) and Black (82%, 95% CI 80%-84%) DMT-treated patients between 2011 and 2023. By 2023, no clinically significant difference in ARR between groups remained (35.5, 19.0, and 18.1 per 1,000 PY for Hispanic, Black, and White people, respectively). DISCUSSION: Implementation of our novel health system intervention led to marked and equitable improvements in HET use and relapse rate reduction among Hispanic, Black, and White DMT-treated patients with MS. This indicates that implementing an algorithmic approach to increase HET use, particularly an affordable one, rituximab, can reduce racial and ethnic disparities in MS outcomes.

Indexed as

AlgorithmsHealthcare DisparitiesImmunologic FactorsMultiple SclerosisAdultBlack or African AmericanCaliforniaFemaleHispanic or LatinoHumansMaleMiddle AgedWhiteImmunologic Factors

Identifiers

PMID40258207
PMCPMC12012625

What OpenQuestion holds

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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.