Evidence map›Paper›PMID 23419428›Full record

ReviewNature reviews. Rheumatology2013

Mechanistic biomarkers for clinical decision making in rheumatic diseases.

William H Robinson, Tamsin M Lindstrom, Regina K Cheung, Jeremy Sokolove

Abstract readReview
In one paragraph

Review in Nature reviews. Rheumatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Monocyte-Amplified Transcriptional Signatures of Human Diseases.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Omics in IgG4-related disease.Chinese medical journal · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. How to Understand Personalized Medicine in Atopic Dermatitis Nowadays?International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
  17. Review
  18. Clinical monitoring in osteoarthritis: Biomarkers.Osteoarthritis and cartilage · 2022
    Article
  19. Review
  20. 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.

William H RobinsonVA Palo Alto Health Care System, 3801 Miranda Ave, Palo Alto, CA 94304, USA. wrobins@stanford.edu
Tamsin M Lindstrom
Regina K Cheung
Jeremy Sokolove

Funding

Prevention Center U01: Early Targets for Antigen-Specific Tolerance Induction in Preclinical Rheumatoid ArthritisU01AI101981 · NIAID · UNIVERSITY OF COLORADO DENVER · PI HOLERS, VERNON MICHAEL · 2012 to 2021
$6.2M
Tyrosine Kinase Pathways in Rheumatoid ArthritisR01AR054822 · NIAMS · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI ROBINSON, WILLIAM H · 2007 to 2011
$1.5M
Proteomic Identification of Actionable Biomarkers in Rheumatoid ArthritisRC1AR058713 · NIAMS · STANFORD UNIVERSITY · PI ROBINSON, WILLIAM H · 2009 to 2010
$1.0M
NHLBI NIH HHS N01-HV‑00242NIAID NIH HHS U01 AI101981NIAID NIH HHS U01 U01AI101981NIAMS NIH HHS R01 AR‑054822NIAMS NIH HHS R01 AR054822NIAMS NIH HHS RC1 AR058713
6 · The paper itself

Abstract

The use of biomarkers is becoming increasingly intrinsic to the practice of medicine and holds great promise for transforming the practice of rheumatology. Biomarkers have the potential to aid clinical diagnosis when symptoms are present or to provide a means of detecting early signs of disease when they are not. Some biomarkers can serve as early surrogates of eventual clinical outcomes or guide therapeutic decision making by enabling identification of individuals likely to respond to a specific therapy. Using biomarkers might reduce the costs of drug development by enabling individuals most likely to respond to be enrolled in clinical trials, thereby minimizing the number of participants required. In this Review, we discuss the current use and the potential of biomarkers in rheumatology and in select fields at the forefront of biomarker research. We emphasize the value of different types of biomarkers, addressing the concept of 'actionable' biomarkers, which can be used to guide clinical decision making, and 'mechanistic' biomarkers, a subtype of actionable biomarker that is embedded in disease pathogenesis and, therefore, represents a potentially superior biomarker. We provide examples of actionable and mechanistic biomarkers currently available, and discuss how development of such biomarkers could revolutionize clinical practice and drug development.

Indexed as

BiomarkersDecision MakingAnimalsHumansRheumatic DiseasesRheumatologyBiomarkers

Identifiers

PMID23419428
PMCPMC3673766

What OpenQuestion holds

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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.