Evidence map›Paper›PMID 40676697›Full record

ReviewNeurological research and practice2025

Management of disease-modifying therapies in multiple sclerosis and comorbid rheumatoid arthritis.

Franz Felix Konen, Torsten Witte, Diana Ernst, David Hagin, Konstantin Fritz Jendretzky, Nora Möhn, Sandra Nay, Lea Grote-Levi, Kurt-Wolfram Sühs, Luisa Klotz and 6 more

Abstract readReview
In one paragraph

Review in Neurological research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

16 authors.

Franz Felix KonenDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Torsten WitteDepartment of Rheumatology and Clinical Immunology, Hannover Medical School, 30625, Hannover, Germany.
Diana ErnstDepartment of Rheumatology and Clinical Immunology, Hannover Medical School, 30625, Hannover, Germany.
David HaginAllergy and Clinical Immunology Unit, Department of Medicine, Tel-Aviv Sourasky Medical Center and Sackler Faculty of Medicine, University of Tel Aviv, 6 Weizmann St, Tel-Aviv, 6423906, Israel.
Konstantin Fritz JendretzkyDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Nora MöhnDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Sandra NayDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Lea Grote-LeviDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Kurt-Wolfram SühsDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
Luisa KlotzDepartment of Neurology with Institute of Translational Neurology, University Hospital Muenster, 48149, Muenster, Germany.
Steffen PfeufferDepartment of Neurology, University Hospital Giessen and Marburg, Justus-Liebig-University Giessen, 35392, Giessen, Germany.
Refik PulDepartment of Neurology, Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, University Hospital Essen, Essen, Germany.
Christoph KleinschnitzDepartment of Neurology, Center for Translational Neuro- and Behavioral Sciences, University Medicine Essen, University Hospital Essen, Essen, Germany.
Marc PawlitzkiDepartment of Neurology, Medical Faculty, Heinrich Heine University Dusseldorf, 40225, Dusseldorf, Germany.
Sven G MeuthDepartment of Neurology, Medical Faculty, Heinrich Heine University Dusseldorf, 40225, Dusseldorf, Germany.
Thomas SkripuletzDepartment of Neurology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany. skripuletz.thomas@mh-hannover.de.ORCID http://orcid.org/0000-0001-8550-335X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComorbid autoimmune disorders, including rheumatoid arthritis (RA), are common in people with multiple sclerosis (MS). Both conditions share pathogenic similarities, enabling potential overlap in treatments. While numerous disease-modifying therapies (DMT) are approved for MS and new options are under clinical trial, their effectiveness in RA varies. MAIN BODY: A PubMed literature review was conducted to evaluate the effects of approved and currently investigated MS-DMT on MS and RA and vice versa. Certain MS-DMT showed beneficial effects for RA, such as teriflunomide, anti-CD20 therapies, and cladribine, while others demonstrated no significant impact (type-I interferons, Bruton´s tyrosine kinase (BTK) inhibitors) or lacked trials (sphingosine-1-phosphate receptor modulators, glatiramer acetate). In contrast, BTK inhibitors were shown to be effective for inactive secondary progressive forms of MS, whereas secukinumab showed limited effects in relapsing MS. Concerning DMT for RA in MS, no significant benefit was observed for abatacept, and there are no trials for Janus kinase inhibitors, or interleukin-(IL)-6 receptor inhibitors (tocilizumab, sarilumab). Adverse events, including RA exacerbation, were reported for some MS-DMT like dimethyl fumarate, alemtuzumab, and natalizumab. Tumor necrosis factor alpha (TNFα) inhibitors increased disease activity in MS patients.

conclusionAmong approved DMT for MS and RA, teriflunomide and anti-CD20 therapies are the most suitable options for moderately or highly active MS with comorbid RA. Cladribine may also be considered, while TNFα inhibitors are contraindicated.

Indexed as

Autoimmune disordersBeneficial and adverse effectsBTK inhibitorDisease-modifying therapyMultiple sclerosisRheumatoid arthritisTreatment

Identifiers

PMID40676697
PMCPMC12273305

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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.