Evidence map›Paper›PMID 29270772›Full record

ArticleCNS drugs2018

Assessing 'No Evidence of Disease Activity' Status in Patients with Relapsing-Remitting Multiple Sclerosis Receiving Fingolimod in Routine Clinical Practice: A Retrospective Analysis of the Multiple Sclerosis Clinical and Magnetic Resonance Imaging Outcomes in the USA (MS-MRIUS) Study.

Bianca Weinstock-Guttman, Jennie Medin, Nasreen Khan, Jonathan R Korn, Ellen Lathi, Jason Silversteen, Jonathan Calkwood, Diego Silva, Robert Zivadinov, MS-MRIUS Study Group

Abstract readMulticenter Study
In one paragraph

Article in CNS drugs, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Refining predictors of long-term NEDA-3 status in relapsing-remitting multiple sclerosis: insights from real-world data.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  2. Observational
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  7. Associations between neurofilament light chain levels, disease activity and brain atrophy in progressive multiple sclerosis.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2022
    Article
  8. Article
  9. Review
  10. Digital Twins for Multiple Sclerosis.Frontiers in immunology · 2021
    Review
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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

10 authors.

Bianca Weinstock-GuttmanState University of New York at Buffalo, Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs Pediatric Multiple Sclerosis Center of Excellence, New York State Multiple Sclerosis Consortium, Buffalo, NY, USA. bw8@buffalo.edu.
Jennie MedinNovartis Pharma AG, Basel, Switzerland.
Nasreen KhanIQVIA, Basel, Switzerland.
Jonathan R KornIQVIA, Burlington, MA, USA.
Ellen LathiThe Elliot Lewis Center for Multiple Sclerosis Care, Boston, MA, USA.
Jason SilversteenChristiana Care Multiple Sclerosis Center, Newark, DE, USA.
Jonathan CalkwoodMinneapolis Clinic of Neurology, Golden Valley, MN, USA.
Diego SilvaNovartis Pharma AG, Basel, Switzerland.
Robert ZivadinovDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York at Buffalo, Buffalo, NY, USA.
MS-MRIUS Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background'No evidence of disease activity' (NEDA), a composite measure of clinical and magnetic resonance imaging outcomes, provides a comprehensive assessment of disease activity, but is not extensively reported in clinical practice. NEDA-3 is defined as patients with no new/enlarged T2 or gadolinium-enhancing lesions, no relapses, and no disability progression (according to Expanded Disability Status Scale scores). NEDA-4 comprises the components of NEDA-3 and a fourth criterion of ≤ 0.4% annualized brain volume loss.

objectiveThe objective of this study was to assess NEDA status among patients with relapsing-remitting multiple sclerosis receiving fingolimod in clinical practice.

methodsClinical and magnetic resonance imaging data were retrospectively collected from 590 patients who initiated fingolimod at 33 multiple sclerosis centers in the USA. Patients were required to have a magnetic resonance imaging scan in the 6 months before or 1 month after fingolimod initiation (index period) and in the 9-24 months after fingolimod initiation (post-index period). Magnetic resonance imaging data were systematically quantified at a centralized reading facility. The proportions of patients with NEDA-3 or NEDA-4 status during fingolimod treatment were assessed.

resultsDuring the follow-up period (median: 16 months), data to assess NEDA-3 and NEDA-4 were available for 586 and 325 patients, respectively. In the post-index period, 58.7% of patients achieved NEDA-3 status (no relapses, 85.2%; no new/enlarged T2/gadolinium-enhancing lesions, 76.3%; no disability progression, 87.9%) and 37.2% achieved NEDA-4 status (no relapses, 86.5%; no new/enlarged T2/gadolinium-enhancing lesions, 78.8%; no disability progression, 91.1%; brain volume loss ≤ 0.4, 58.2%).

conclusionAmong patients receiving fingolimod, over half achieved NEDA-3 status and over one-third achieved NEDA-4 status.

Indexed as

AdultCohort StudiesDisease ProgressionFemaleFingolimod HydrochlorideFollow-Up StudiesHumansImmunosuppressive AgentsLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingRetrospective StudiesTreatment OutcomeYoung AdultFingolimod HydrochlorideImmunosuppressive Agents

Identifiers

PMID29270772
PMCPMC5843701

What OpenQuestion holds

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LicenceCC BY-NC
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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.