Evidence map›Paper›PMID 25523168›Full record

ReviewExpert review of clinical immunology2015

Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the future.

Itay Raphael, Johanna Webb, Olaf Stuve, William Haskins, Thomas Forsthuber

Abstract readReview
In one paragraph

Review in Expert review of clinical immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Environmental Influencers, MicroRNA, and Multiple Sclerosis.Journal of central nervous system disease · 2020
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Acute disseminated encephalomyelitis in an elderly patient.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2017
    Article
  20. 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

5 authors.

Itay RaphaelUniversity of Texas San Antonio - Biology, San Antonio, TX, USA.
Johanna Webb
Olaf Stuve
William Haskins
Thomas Forsthuber

Funding

STRUCTURAL VISUALIZATION IN BIOINFORMATICSG12RR013646 · NCRR · UNIVERSITY OF TEXAS SAN ANTONIO · PI ZHANG, JI · 1998 to 2011
$19.6M
RCMI Center for Interdiscplinary Health Research CIHRG12MD007591 · NIMHD · UNIVERSITY OF TEXAS SAN ANTONIO · PI PERRY, GEORGE · 2012 to 2016
$10.4M
Steroid resistance: Experimental Autoimmune Encephalomyelitis/Multiple SclerosisR01NS052177 · NINDS · UNIVERSITY OF TEXAS SAN ANTONIO · PI FORSTHUBER, THOMAS G. · 2007 to 2010
$1.2M
Predictive biomarkers for EAE developmentR21NS084201 · NINDS · UNIVERSITY OF TEXAS SAN ANTONIO · PI FORSTHUBER, THOMAS G. · 2014 to 2015
$404k
NCRR NIH HHS G12 RR013646NIMHD NIH HHS G12 MD007591NINDS NIH HHS R01 NS052177NINDS NIH HHS R21 NS084201
6 · The paper itself

Abstract

Multiple sclerosis (MS) is an autoimmune inflammatory disease of the central nervous system, which affects over 2.5 million people worldwide. Although MS has been extensively studied, many challenges still remain in regards to treatment, diagnosis and prognosis. Typically, prognosis and individual responses to treatment are evaluated by clinical tests such as the expanded disability status scale, MRI and presence of oligoclonal bands in the cerebrospinal fluid. However, none of these measures correlates strongly with treatment efficacy or disease progression across heterogeneous patient populations and subtypes of MS. Numerous studies over the past decades have attempted to identify sensitive and specific biomarkers for diagnosis, prognosis and treatment efficacy of MS. The objective of this article is to review and discuss the current literature on body fluid biomarkers in MS, including research on potential biomarker candidates in the areas of miRNA, mRNA, lipids and proteins.

Indexed as

Lipid MetabolismBiomarkersBody FluidsHumansLipidsMicroRNAsMultiple SclerosisProteinsRNA, MessengerBiomarkersLipidsMicroRNAsProteinsRNA, Messengerautoimmunitybiomarkerexperimental autoimmune encephalomyelitismultiple sclerosisprognosistherapy

Identifiers

PMID25523168
PMCPMC4326231

What OpenQuestion holds

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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.