Evidence map›Paper›PMID 33324871›Full record

ReviewNeurological research and practice2019

Navigating choice in multiple sclerosis management.

Ralf A Linker, Andrew Chan

Open access · diamondAbstract readReview
In one paragraph

Review in Neurological research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Preventive strategies in neuroimmunology.Neurological research and practice · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Ontology for Symptomatic Treatment of Multiple Sclerosis.Healthcare informatics research · 2022
    Article
  11. Article
  12. Neurological research and practice: the first year.Neurological research and practice · 2020
    Article
  13. Expert opinion on the use of cladribine tablets in clinical practice.Therapeutic advances in neurological disorders · 2020
    Review
  14. 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 at 2 institutions in 2 countries.

Ralf A LinkerDepartment of Neurology, University of Regensburg, Universitätsstr. 84, 93053 Regensburg, Germany.ORCID 0000-0001-9775-3719
Andrew ChanAmbulantes Neurozentrum, Inselspital, Bern University Hospital, Freiburgstr. 4, 3010 Bern, Switzerland.
University Hospital of Bern · CHUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the advent of modern immunotherapies for relapsing-remitting multiple sclerosis (RRMS) and the increasing amount of treatment options on the market, MS has evolved as a treatable disease. Yet, at the same time, new challenges for the treating neurologists arise. MAIN BODY: This review article covers some of these challenges, including when and how to start treatment, treatment monitoring, and finally considerations on what the increasing choice in treatment options brings to disease management and longer-term planning. Among others, these important issues comprise pregnancy, treatment sequencing, switching or even stopping treatment.

conclusionThe ultimate goal for navigating choices in RRMS management is to choose the right drug for the right patient at the right time Throughout the article, there is a strong focus on practical aspects and individual decision making in MS to meet the concept of personalized medicine.

Indexed as

Disease managementImmunomodulationMS therapyPersonalized medicineTreatment monitoring

Identifiers

PMID33324871
PMCPMC7650058
OpenAlexW2946835652

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.