Evidence map›Paper›PMID 25221744›Full record

ReviewMultiple sclerosis and related disorders2014

Risk stratification and mitigation multiple sclerosis.

Daniel Ontaneda, Samuel Cohn, RobertJ Fox

Abstract readReview
In one paragraph

Review in Multiple sclerosis and related disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
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

3 authors.

Daniel Ontaneda
Samuel Cohn
RobertJ Fox

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
NCATS NIH HHS KL2 TR000440NCATS NIH HHS KL2TR000440
6 · The paper itself

Abstract

The increasing availability of new agents to treat multiple sclerosis poses new challenges for clinicians who seek therapies that are both safe and effective for their patients. The introduction of additional effective therapies has been accompanied by the recognition of serious side effects. The clinician now must weigh both the benefits and risks of therapies to help patients decide which treatment best fits each patient׳s risk/benefit profile. An optimal selection of therapies relies on a complete understanding of the risks of therapies and the factors that may help evaluate and mitigate those risks. An individualized treatment approach that incorporates patient and disease factors is needed for each patient. In this review we present risk stratification and mitigation strategies of disease modifying agents for multiple sclerosis.

Indexed as

Evidence-Based MedicineHumansImmunologic FactorsImmunosuppressive AgentsMultiple SclerosisRisk AssessmentTreatment OutcomeImmunologic FactorsImmunosuppressive Agents

Identifiers

PMID25221744
PMCPMC4159169

What OpenQuestion holds

Textmetadata
LicenceTDM
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.