Evidence map›Paper›PMID 23311619›Full record

ReviewBMC medicine2013

Genetics of scleroderma: implications for personalized medicine?

Shervin Assassi, Timothy R D J Radstake, Maureen D Mayes, Javier Martin

Abstract readReview
In one paragraph

Review in BMC medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. ABO blood groups and rheumatic diseases.European journal of rheumatology · 2017
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Genetics of systemic sclerosis: recent advances.Current opinion in rheumatology · 2015
    Review
  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

4 authors.

Shervin AssassiDivision of Rheumatology and Clinical Immunogenetics, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA. shervin.assassi@uth.tmc.edu
Timothy R D J Radstake
Maureen D Mayes
Javier Martin

Funding

U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
CTSA: K12 COMPONENTKL2RR024149 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2011
$6.7M
Molecular Markers for Progression of Pulmonary Fibrosis in Systemic SclerosisK23AR061436 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ASSASSI, SHERVIN · 2011 to 2014
$494k
NCRR NIH HHS KL2 RR024149NCRR NIH HHS UL1 RR024148NIAMS NIH HHS K23 AR061436
6 · The paper itself

Abstract

Significant advances have been made in understanding the genetic basis of systemic sclerosis (scleroderma) in recent years. Can these discoveries lead to individualized monitoring and treatment? Besides robustly replicated genetic susceptibility loci, several genes have been recently linked to various systemic sclerosis disease manifestations. Furthermore, inclusion of genetic studies in design and analysis of drug trials could lead to development of genetic biomarkers that predict treatment response. Future genetic studies in well-characterized systemic sclerosis cohorts paired with advanced analytic approaches can lead to development of genetic biomarkers for targeted diagnostic and therapeutic interventions in systemic sclerosis.

Indexed as

Genetic Predisposition to DiseaseGenetic MarkersHumansPrecision MedicineScleroderma, SystemicGenetic Markers

Identifiers

PMID23311619
PMCPMC3568008

What OpenQuestion holds

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Registered trials

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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.