Evidence map›Paper›PMID 18563468›Full record

ArticleJournal of neurology2008

Analysis of 45 candidate genes for disease modifying activity in multiple sclerosis.

Sreeram V Ramagopalan, Gabriele C Deluca, Katie M Morrison, Blanca M Herrera, David A Dyment, Matthew R Lincoln, Sarah-Michelle Orton, Michael J Chao, Alexandra Degenhardt, Maura Pugliatti and 3 more

Abstract read
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In one paragraph

Article in Journal of neurology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Gene variants of adhesion molecules act as modifiers of disease severity in MS.Neurology(R) neuroimmunology & neuroinflammation · 2017
    Article
  5. Review
  6. Review
  7. Article
  8. 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

13 authors at 5 institutions in 3 countries.

Sreeram V RamagopalanDept. of Clinical Neurology, University of Oxford, Level 3, West Wing, John Radcliffe Hospital, Oxford, OX3 9DU, UK.
Gabriele C Deluca
Katie M Morrison
Blanca M Herrera
David A Dyment
Matthew R Lincoln
Sarah-Michelle Orton
Michael J Chao
Alexandra Degenhardt
Maura Pugliatti
A Dessa Sadovnick
Stefano Sotgiu
George C Ebers
John Radcliffe Hospital · GBCentre for Human Genetics · GBUniversity of Oxford · GBUniversity of Sassari · ITUniversity of British Columbia · CA

Funding

Medical Research Council
6 · The paper itself

Abstract

Multiple sclerosis (MS) is a common inflammatory disease of the central nervous system unsurpassed for its variability in disease outcome. As little is conclusively known about MS disease mechanisms, we have selected a variety of candidate genes that may influence the prognosis of the disease based on their function. A cohort of sporadic MS cases, taken from opposite extremes of the putative distribution of long-term outcome using the most stringent clinical criteria to date, was used to determine the role of on MS disease severity. The MS cases selected represent the prognostic best 5 % (benign MS) and worst 5 % (malignant MS) of cases in terms of clinical outcome assessed by the EDSS. Genotyping the two sets of MS patients (112 benign and 51 malignant) and a replication cohort from Sardinia provided no evidence to suggest that the genes selected have any outcome modifying activity, although small effects of these genes cannot be ruled out.

Indexed as

Genetic Predisposition to DiseaseAge of OnsetDisability EvaluationFemaleGene FrequencyGenotypeHumansMaleMultiple SclerosisPolymorphism, Single NucleotidePrognosisSeverity of Illness Index

Identifiers

PMID18563468
OpenAlexW2036981744

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.