Evidence map›Paper›PMID 21224883›Full record

ReviewNature reviews. Neurology2011

Therapies for multiple sclerosis: considerations in the pediatric patient.

Brenda Banwell, Amit Bar-Or, Gavin Giovannoni, Russell C Dale, Marc Tardieu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
  2. Article
  3. Bringing the HEET: The Argument for High-Efficacy Early Treatment for Pediatric-Onset Multiple Sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017
    Review
  4. Article
  5. Article
  6. Treatment of pediatric multiple sclerosis.Current treatment options in neurology · 2015
    Article
  7. Review
  8. Article
  9. Article
  10. Ethical challenges in paediatric clinical trials in multiple sclerosis.Therapeutic advances in neurological disorders · 2012
    Article
  11. 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

5 authors at 5 institutions in 4 countries.

Brenda BanwellDepartment of Pediatrics, Division of Neurology, The Hospital for Sick Children, University of Toronto, ON, Canada. brenda.banwell@sickkids.ca
Amit Bar-Or
Gavin Giovannoni
Russell C Dale
Marc Tardieu
Bicêtre Hospital · FRChildren's Hospital at Westmead · AUMontreal Neurological Institute and Hospital · CAQueen Mary University of London · GBSickKids Foundation · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current and emerging therapies for multiple sclerosis (MS) offer promise for improved disease control and long-term clinical outcome. To date, these therapies have been evaluated solely in the context of adult MS. However, onset of MS in children is being increasingly recognized, and recent studies have identified a significant impact of MS onset during childhood on cognitive and physical functioning. Optimization of pediatric MS care requires that promising new therapies be made available to children and adolescents, but also that safety and tolerability and potential influence of therapies on the developing immune and neural networks of pediatric patients be closely considered. We propose care algorithms illustrating models for therapy that detail careful monitoring of pediatric patients with MS, provide definitions for inadequate treatment response and treatment escalation, and foster multinational collaboration in future therapeutic trials.

Indexed as

AlgorithmsChildHumansImmunomodulationMultiple Sclerosis

Identifiers

PMID21224883
OpenAlexW1976316253

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.