Evidence map›Paper›PMID 23044601›Full record

ReviewThe pharmacogenomics journal2012

Pharmacogenomic update on multiple sclerosis: a focus on actual and new therapeutic strategies.

V Foti Cuzzola, E Palella, D Celi, M Barresi, S Giacoppo, P Bramanti, S Marino

Abstract readReview
PubMed Publisher
In one paragraph

Review in The pharmacogenomics journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Frontiers in immunology · 2017
    Article
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

V Foti CuzzolaExperimental Neurology Laboratory, IRCCS Centro Neurolesi 'Bonino-Pulejo', Messina, Italy. fotivaleria@yahoo.it
E Palella
D Celi
M Barresi
S Giacoppo
P Bramanti
S Marino
Istituti di Ricovero e Cura a Carattere Scientifico · ITCentro Neurolesi Bonino Pulejo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is an inflammatory and demyelinating disease of central nervous system comprising several subtypes. Pharmacological treatment involves only few drugs. Among these, interferon beta (IFN-β) and glatiramer acetate were the most used. Although evidence supports the efficacy of these agents in treating MS symptoms, actual studies allowed to introduce new innovative drugs in clinical practice. Applying pharmacogenetic approach to MS, IFN-β and several other immune pathways were abundantly investigated. Numerous reports identified some promising therapy markers but only few markers have emerged as clinically useful. This may be partially due to differences in clinical and methodological criteria in the studies. Indeed, responder and non-responder definitions lack standardized clinical definition. The goal of this review is to treat advances in research on the pharmacogenetic markers of MS drugs and to highlight possible correlations between type of responses and genetic profile, with regard to clinical and methodological discrepancies in the studies.

Indexed as

CathepsinsGlatiramer AcetateGTP-Binding ProteinsHumansInterferon-betaMultiple SclerosisMyxovirus Resistance ProteinsPeptidesPharmacogeneticsReceptor, Interferon alpha-betacathepsin SCathepsinsGlatiramer AcetateGTP-Binding ProteinsIFNAR1 protein, humanIFNAR2 protein, humanInterferon-betaMyxovirus Resistance ProteinsPeptidesReceptor, Interferon alpha-beta

Identifiers

PMID23044601
OpenAlexW2039769621

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.