Evidence map›Paper›PMID 19232067›Full record

ReviewArthritis research & therapy2009

Transcription profiling of rheumatic diseases.

Lisa G M van Baarsen, Carina L Bos, Tineke C T M van der Pouw Kraan, Cornelis L Verweij

Abstract readReview
In one paragraph

Review in Arthritis research & therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Is there a role of synovial biopsy in drug development?BMC musculoskeletal disorders · 2016
    Review
  6. Article
  7. Feline degenerative joint disease: a genomic and proteomic approach.Journal of feline medicine and surgery · 2013
    Article
  8. Article
  9. Article
  10. DNA methylome signature in rheumatoid arthritis.Annals of the rheumatic diseases · 2013
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. HDAC inhibition in lupus models.Molecular medicine (Cambridge, Mass.)
    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.

Lisa G M van BaarsenDepartment of Pathology, VU University Medical Center, 1007 MB Amsterdam, The Netherlands.
Carina L Bos
Tineke C T M van der Pouw Kraan
Cornelis L Verweij

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Rheumatic diseases are a diverse group of disorders. Most of these diseases are heterogeneous in nature and show varying responsiveness to treatment. Because our understanding of the molecular complexity of rheumatic diseases is incomplete and criteria for categorization are limited, we mainly refer to them in terms of group averages. The advent of DNA microarray technology has provided a powerful tool to gain insight into the molecular complexity of these diseases; this technology facilitates open-ended survey to identify comprehensively the genes and biological pathways that are associated with clinically defined conditions. During the past decade, encouraging results have been generated in the molecular description of complex rheumatic diseases, such as rheumatoid arthritis, systemic lupus erythematosus, Sjögren syndrome and systemic sclerosis. Here, we describe developments in genomics research during the past decade that have contributed to our knowledge of pathogenesis, and to the identification of biomarkers for diagnosis, patient stratification and prognostication.

Indexed as

Gene Expression ProfilingAnimalsHumansOligonucleotide Array Sequence AnalysisRheumatic Diseases

Identifiers

PMID19232067
PMCPMC2688218

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.