Evidence map›Paper›PMID 26720904›Full record

ReviewCurrent opinion in rheumatology2016

Biomarkers to guide clinical therapeutics in rheumatology?

William H Robinson, Rong Mao

Abstract readReview
In one paragraph

Review in Current opinion in rheumatology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Precision medicine in rheumatoid arthritis.Best practice & research. Clinical rheumatology · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Identification of a HumanFrontiers in immunology · 2020
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Liquid biopsies to guide therapeutic decisions in rheumatoid arthritis.Translational research : the journal of laboratory and clinical medicine · 2018
    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

2 authors.

William H RobinsonaDivision of Immunology and Rheumatology, CCSR 4135, Stanford bGeriatric Research Education and Clinical Center, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California, USA.
Rong Mao

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
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
Evolving Adaptive and Effector Mechanisms from Pre-RA Through Established DiseaseUH2AR067681 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI HOLERS, VERNON MICHAEL · 2014 to 2020
$5.5M
Ultra-Fast Epigenomic Maps for Monitoring AutoimmunityU19AI110491 · NIAID · STANFORD UNIVERSITY · PI UTZ, PAUL JOSEPH · 2014 to 2018
$3.6M
Large-Scale Characterization of Autoantibody Responses in Rheumatoid ArthritisR01AR063676 · NIAMS · STANFORD UNIVERSITY · PI ROBINSON, WILLIAM H · 2013 to 2017
$1.7M
Large-Scale Characterization of Anti-Cancer Antibody Responses in Lung AdenocarciR33CA183659 · NCI · STANFORD UNIVERSITY · PI ROBINSON, WILLIAM H · 2014 to 2016
$1.2M
NCI NIH HHS R33 CA183659NHLBI NIH HHS N01-HV 00242NIAID NIH HHS U01 AI057229NIAID NIH HHS U01 AI101981NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI110491NIAMS NIH HHS R01 AR063676NIAMS NIH HHS UH2 AR067681
6 · The paper itself

Abstract

purpose of reviewThe use of biomarkers in rheumatology can help identify disease risk, improve diagnosis and prognosis, target therapy, assess response to treatment, and further our understanding of the underlying pathogenesis of disease. Here, we discuss the recent advances in biomarkers for rheumatic disorders, existing impediments to progress in this field, and the potential of biomarkers to enable precision medicine and thereby transform rheumatology. RECENT

findingsAlthough significant challenges remain, progress continues to be made in biomarker discovery and development for rheumatic diseases. The use of next-generation technologies, including large-scale sequencing, proteomic technologies, metabolomic technologies, mass cytometry, and other single-cell analysis and multianalyte analysis technologies, has yielded a slew of new candidate biomarkers. Nevertheless, these biomarkers still require rigorous validation and have yet to make their way into clinical practice and therapeutic development. This review focuses on advances in the biomarker field in the last 12 months as well as the challenges that remain. SUMMARY: Better biomarkers, ideally mechanistic ones, are needed to guide clinical decision making in rheumatology. Although the use of next-generation techniques for biomarker discovery is making headway, it is imperative that the roadblocks in our search for new biomarkers are overcome to enable identification of biomarkers with greater diagnostic and predictive utility. Identification of biomarkers with robust diagnostic and predictive utility would enable precision medicine in rheumatology.

Indexed as

BiomarkersBiomedical ResearchDrug MonitoringHumansPrognosisProteomicsRheumatic DiseasesRheumatologySeverity of Illness IndexBiomarkers

Identifiers

PMID26720904
PMCPMC4770786

What OpenQuestion holds

Textmetadata
LicenceTDM
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.