Evidence map›Paper›PMID 39493424›Full record

ReviewMultiple sclerosis journal - experimental, translational and clinical

Treatment effect modifiers of immunotherapies for relapsing-remitting multiple sclerosis-A systematic review and meta-analysis.

Christoph Heesen, Christian Röver, Susanna Salem, Judith Heinz, Declan Chard, Jordi Rio, Andrea V Fittipaldo, Thomas Lehnert, Sascha Köpke, Alessandra Solari and 3 more

Abstract readReview
In one paragraph

Review in Multiple sclerosis journal - experimental, translational and clinical. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Christoph HeesenInstitute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center, Hamburg, Germany Department of Neurology, University Medical Center, Hamburg, Germany.ORCID https://orcid.org/0000-0001-8131-9467
Christian RöverDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Susanna SalemDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Judith HeinzDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.
Declan ChardDepartment of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.ORCID https://orcid.org/0000-0003-3076-2682
Jordi RioNeurology/Neuroimmunology, Centre d'Esclerosi Multiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-4546-7627
Andrea V FittipaldoDepartment of Oncology, Istituto Ricerche Farmacologiche "Mario Negri" IRCCS, Milano, Italy.
Thomas LehnertInstitute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center, Hamburg, Germany.
Sascha KöpkeInstitute of Nursing Science, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Alessandra SolariUnit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.ORCID https://orcid.org/0000-0001-9930-7579
Maria Pia SormaniDepartment of Health Sciences, University of Genua, Genova, Italy.ORCID https://orcid.org/0000-0001-6892-104X
Tim FriedeDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0001-5347-7441
Anne C RahnInstitute for Social Medicine and Epidemiology, Nursing Research Unit, University of Lübeck, Lübeck, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This meta-analysis aimed to assess the treatment effects of immunotherapies in subgroups of adults with clinically isolated syndrome or relapsing forms of multiple sclerosis (MS) and the effect of potential treatment effect modifiers (TEMs). Methods: Phase 2 and 3 RCTs with a placebo comparator were analyzed. Risk of bias was assessed. Random-effects meta-analyses were conducted to summarize treatment effects within subgroups and differences in treatment effects between subgroups. Results: Thirty-one studies were included. Age < 40 years was the strongest TEM for relapse rate across DMTs with a ratio of rate ratios (RRR) of 1.44 (95% CI 1.09-1.90; 7 studies). Disability progression was influenced by age (ratio of hazard ratios, RHR 1.59, 95% CI 1.11-2.29; 4 studies). Dichotomizing patients based on EDSS cut-offs (EDSS 2.0 and 3.0) also showed a significantly higher benefit for those less disabled for relapse rate (RRR 1.35, CI 1.03-1.76; 8 studies). Sex, baseline MRI parameters, previous immunotherapy, and clinical presentation showed no effect in this meta-analysis. Conclusion: Age < 40 is a robust TEM for a lower relapse rate as well as less disability progression across six MS immunotherapies. Additionally, a lower baseline EDSS was predictive of the relapse rate.

Indexed as

disease-modifying therapymeta-analysisMultiple sclerosissystematic reviewtreatment effect modifiertreatment response

Identifiers

PMID39493424
PMCPMC11528564

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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.