Evidence map›Paper›PMID 23575354›Full record

ArticleGenes and immunity2013

Multiple sclerosis susceptibility loci do not alter clinical and MRI outcomes in clinically isolated syndrome.

T Kalincik, C R G Guttmann, J Krasensky, M Vaneckova, P Lelkova, M Tyblova, Z Seidl, P L De Jager, E Havrdova, D Horakova

Abstract read
PubMed Publisher
In one paragraph

Article in Genes and immunity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Observational
  4. Environmental and genetic risk factors for MS: an integrated review.Annals of clinical and translational neurology · 2019
    Review
  5. Article
  6. Genetic predictors of relapse rate in pediatric MS.Multiple sclerosis (Houndmills, Basingstoke, England) · 2016
    Article
  7. Article
  8. Article
  9. Observational
  10. 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

10 authors at 4 institutions in 3 countries.

T KalincikDepartment of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic. tomas.kalincik@unimelb.edu.au
C R G Guttmann
J Krasensky
M Vaneckova
P Lelkova
M Tyblova
Z Seidl
P L De Jager
E Havrdova
D Horakova
Charles University · CZGeneral University Hospital in Prague · CZHarvard University · USThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has not yet been established whether genetic predictors of multiple sclerosis (MS) susceptibility also influence disease severity and accumulation of disability. Our aim was to evaluate associations between 16 previously validated genetic susceptibility markers and MS phenotype. Patients with clinically isolated syndrome verified by positive magnetic resonance imaging (MRI) and cerebrospinal fluid findings (n=179) were treated with interferon-β. Disability and volumetric MRI parameters were evaluated regularly for 2 years. Sixteen single-nucleotide polymorphisms (SNPs) previously validated as predictors of MS susceptibility in our cohort and their combined weighted genetic risk score (wGRS) were tested for associations with clinical (conversion to MS, relapses and disability) and MRI disease outcomes (whole brain, grey matter and white matter volumes, corpus callosum cross-sectional area, brain parenchymal fraction, T2 and T1 lesion volumes) 2 years from disease onset using mixed-effect models. We have found no associations between the tested SNPs and the clinical or MRI outcomes. Neither the combined wGRS predicted MS activity and progression over 2-year follow-up period. Power analyses confirmed 90% power to identify clinically relevant changes in all outcome variables. We conclude that the most important MS susceptibility loci do not determine MS phenotype and disease outcomes.

Indexed as

Genetic LociGenetic Predisposition to DiseaseAdolescentAdultBiomarkersBrainFemaleGenetic Association StudiesHumansMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisPhenotypePolymorphism, Single NucleotideBiomarkers

Identifiers

PMID23575354
OpenAlexW2091635798

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.