Evidence map›Paper›PMID 23897407›Full record

ReviewNature reviews. Neurology2013

Defining and scoring response to IFN-β in multiple sclerosis.

Maria Pia Sormani, Nicola De Stefano

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
–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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Guidelines on the clinical use for the detection of neutralizing antibodies (NAbs) to IFN beta in multiple sclerosis therapy: report from the Italian Multiple Sclerosis Study group.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2014
    Guideline
  4. Trial
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  7. Review
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  9. Article
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  13. Escalation vs. Early Intense Therapy in Multiple Sclerosis.Journal of personalized medicine · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Long-term disability outcomes in relapsing-remitting multiple sclerosis: a 10-year follow-up study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Observational
  20. 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

2 authors.

Maria Pia SormaniDepartment of Health Sciences (DISSAL), University of Genoa, Via Pastore 1, Genoa 16132, Italy. mariapia.sormani@ unige.it
Nicola De Stefano

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of a large number of new therapies for multiple sclerosis (MS) warrants the development of tools that enable selection of the best treatment option for each new patient with MS. Evidence from clinical trials clearly supports the efficacy of IFN-β for the treatment of MS, but few factors that predict a response to this drug in individual patients have emerged. This deficit might be due, at least in part, to the lack of a standardized definition of the clinical outcomes that signify improvement or worsening of the disease. MRI markers and clinical relapses have been the most widely studied short-term factors to predict long-term response to IFN-β, although the results are conflicting. Recently, integrated strategies combining MRI and clinical markers in scoring systems have provided a potentially useful approach for the management of patients with MS. In this Review, we focus on the many definitions of clinical response to IFN-β and explore the markers that can be used to predict this response. We also highlight advantages and limitations of the existing scoring systems in light of future expansion of these models to biological markers and to other classes of emerging therapies for MS.

Indexed as

Biomarkers, PharmacologicalHumansInterferon-betaMagnetic Resonance ImagingMultiple SclerosisTreatment OutcomeBiomarkers, PharmacologicalInterferon-beta

Identifiers

What OpenQuestion holds

Textmetadata
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.