Evidence map›Paper›PMID 32530366›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2020

Aggressive multiple sclerosis (2): Treatment.

Georgina Arrambide, Ellen Iacobaeus, Maria Pia Amato, Tobias Derfuss, Sandra Vukusic, Bernhard Hemmer, Lou Brundin, Mar Tintore, 2018 ECTRIMS Focused Workshop Group

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 38 citations in OpenAlex.

  1. Observational
  2. Article
  3. Should autologous HSCT be a first-line option in highly active MS? Commentary.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
    Article
  4. Frailty Exacerbates Disability in Progressive Multiple Sclerosis.Annals of clinical and translational neurology · 2026
    Article
  5. Observational
  6. Article
  7. Multiple sclerosis: a practical review for pathologists.Journal of pathology and translational medicine · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Observational
  17. Predictive MRI Biomarkers in MS-A Critical Review.Medicina (Kaunas, Lithuania) · 2022
    Review
  18. Review
  19. 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

9 authors at 7 institutions in 6 countries.

Georgina ArrambideServei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID 0000-0002-2657-5510
Ellen IacobaeusDivision of Neurology, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Maria Pia AmatoDepartment NEUROFARBA, University of Florence, Florence, Italy/IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.
Tobias DerfussDepartments of Neurology and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0001-8431-8769
Sandra VukusicService de neurologie, sclérose en plaques, pathologies de la myéline et neuro-inflammation, and Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France/Centre des Neurosciences de Lyon, Observatoire Français de la Sclérose en Plaques, INSERM 1028 et CNRS UMR5292, Lyon, France/Faculté de médecine Lyon Est, Université Claude Bernard Lyon 1, Lyon, France.ORCID 0000-0001-7337-7122
Bernhard HemmerDepartment of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.ORCID 0000-0001-5985-6784
Lou BrundinDivision of Neurology, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Mar TintoreServei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID 0000-0001-9999-5359
2018 ECTRIMS Focused Workshop Group
Don Carlo Gnocchi Foundation · ITKarolinska Institutet · SEUniversitat Autònoma de Barcelona · ESCentre Hospitalier Universitaire de Toulouse · FRTUM Klinikum · DEUniversité Claude Bernard Lyon 1 · FRUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The natural history of multiple sclerosis (MS) is highly heterogeneous. A subgroup of patients has what might be termed aggressive MS. These patients may have frequent, severe relapses with incomplete recovery and are at risk of developing greater and permanent disability at the earlier stages of the disease. Their therapeutic window of opportunity may be narrow, and while it is generally considered that they will benefit from starting early with a highly efficacious treatment, a unified definition of aggressive MS does not exist and data on its treatment are largely lacking. Based on discussions at an international focused workshop sponsored by the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS), we review our current knowledge about treatment of individuals with aggressive MS. We analyse the available evidence, identify gaps in knowledge and suggest future research needed to fill those gaps. A companion paper details the difficulties in developing a consensus about what defines aggressive MS.

Indexed as

Aggressivedisabilityhighly activemultiple sclerosisrelapsing–remittingtreatment response

Identifiers

PMID32530366
PMCPMC7412878
OpenAlexW3035203221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.