Evidence map›Paper›PMID 21046295›Full record

ReviewCurrent rheumatology reports2011

Biomarkers in the management of scleroderma: an update.

Giuseppina Abignano, Maya Buch, Paul Emery, Francesco Del Galdo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Proteomics approaches to fibrotic disorders.Fibrogenesis & tissue repair · 2012
    Article
  9. 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

4 authors.

Giuseppina AbignanoScleroderma Research Centre, Leeds Institute of Molecular Medicine, Section of Musculoskeletal Diseases, Chapel Allerton Hospital, University of Leeds, Second Floor, Chapeltown Road, Leeds LS7 4SA, UK. g.abignano@leeds.ac.uk
Maya Buch
Paul Emery
Francesco Del Galdo

Funding

Versus Arthritis 18475
6 · The paper itself

Abstract

Scleroderma, or systemic sclerosis, is a clinically heterogeneous disease characterized by fibroproliferative vasculopathy, tissue fibrosis affecting the skin and internal organs, and autoimmune activation. Many biomarker candidates have been identified in the past two decades; however, fully validated measures are still lacking with regard to aiding in the early diagnosis and reflecting the disease activity, severity, prognosis, and response to therapy. An ideal biomarker should be highly sensitive and specific, reflecting the current status of disease; should be related to the disease activity and/or severity in accordance with the clinical evolution; should anticipate clinical changes before they occur; and should add independent information about the risk or prognosis that is reproducible and feasible. This review focuses on the most recent and innovative approaches to identify biomarkers, such as extensive gene expression analysis and proteomics, and on markers and surrogate outcome measures closer to clinical practice, and attempts to evaluate them through the OMERACT (Outcome Measures in Rheumatology Clinical Trials) filter.

Indexed as

BiomarkersGene ExpressionGenomeHumansPrognosisScleroderma, SystemicBiomarkers

Identifiers

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.