Evidence map›Paper›PMID 31582377›Full record

ArticleAnnals of the rheumatic diseases2019

Synovial tissue signatures enhance clinical classification and prognostic/treatment response algorithms in early inflammatory arthritis and predict requirement for subsequent biological therapy: results from the pathobiology of early arthritis cohort (PEAC).

Gloria Lliso-Ribera, Frances Humby, Myles Lewis, Alessandra Nerviani, Daniele Mauro, Felice Rivellese, Stephen Kelly, Rebecca Hands, Fabiola Bene, Nandhini Ramamoorthi and 8 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Annals of the rheumatic diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
11.8field-weighted citation impact, top 1% of its field
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

75 citing papers in PubMed, 123 citations in OpenAlex.

  1. Trial
  2. Trial
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  4. Article
  5. Review
  6. Science translational medicine · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Emerging Therapeutics in Rheumatoid Arthritis.Current rheumatology reports · 2026
    Review
  14. Review
  15. Review
  16. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
    Review
  17. Article
  18. Synovial MS4A4A correlates with inflammation and counteracts response to corticosteroids in arthritis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Review
  20. Article

15 more citing papers are in PubMed but not listed here.

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

18 authors at 8 institutions in 2 countries.

Gloria Lliso-Ribera *Centre of Experimental Medicine and Rheumatology, William Harvey Research Institute, London, UK.
Frances Humby *Centre for Experimental Medicine and Rheumatology, Barts and the London School of Medicine and Dentistry, London, UK.ORCID 0000-0003-1280-9133
Myles LewisQueen Mary University of London-Charterhouse Square Campus, London, UK.ORCID 0000-0001-9365-5345
Alessandra NervianiCentre of Experimental Medicine and Rheumatology, William Harvey Research Institute, London, UK.ORCID 0000-0003-4064-4014
Daniele MauroCentre of Experimental Medicine and Rheumatology, William Harvey Research Institute, London, UK.
Felice RivelleseCentre of Experimental Medicine and Rheumatology, William Harvey Research Institute, London, UK.ORCID 0000-0002-6759-7521
Stephen KellyRheumatology, Barts Health NHS Trust, London, UK.
Rebecca HandsExperimental Medicine and Rheumatology, Queen Marys University of London, London, UK.
Fabiola BeneQueen Mary University of London-Charterhouse Square Campus, London, UK.
Nandhini RamamoorthiBiomarker Discovery OMNI, Genentech Research & Early Development, San Francisco, California, USA.
Jason A HackneyITGR Biomarker Discovery Group, Genentech, South San Francisco, California, USA.
Alberto CauliRheumatology and Rheumatology Unit, University of Cagliari and AOU University Clinic of Cagliari, Monserrato, Italy.
Ernest H ChoyInstitute of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
Andrew FilerInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Peter C TaylorNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.ORCID 0000-0001-7766-6167
Iain McInnesInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.
Michael J TownsendITGR Biomarker Discovery Group, Genentech, South San Francisco, California, USA.
Costantino PitzalisExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK c.pitzalis@qmul.ac.uk.ORCID 0000-0003-1326-5051
William Harvey Research Institute · GBQueen Mary University of London · GBBarts Health NHS Trust · GBCardiff University · GBNuffield Orthopaedic Centre · GBUniversity of Birmingham · GBUniversity of Cagliari · ITUniversity of Glasgow · GB

Funding

Department of Health TRF-2018-11-ST2-002Medical Research Council G0800648Versus Arthritis 21890Versus Arthritis 22000
6 · The paper itself

Abstract

objectiveTo establish whether synovial pathobiology improves current clinical classification and prognostic algorithms in early inflammatory arthritis and identify predictors of subsequent biological therapy requirement.

methods200 treatment-naïve patients with early arthritis were classified as fulfilling RA1987 American College of Rheumatology (ACR) criteria (RA1987) or as undifferentiated arthritis (UA) and patients with UA further classified into those fulfilling RA2010 ACR/European League Against Rheumatism (EULAR) criteria. Treatment requirements at 12 months (Conventional Synthetic Disease Modifying Antirheumatic Drugs (csDMARDs) vs biologics vs no-csDMARDs treatment) were determined. Synovial tissue was retrieved by minimally invasive, ultrasound-guided biopsy and underwent processing for immunohistochemical (IHC) and molecular characterisation. Samples were analysed for macrophage, plasma-cell and B-cells and T-cells markers, pathotype classification (lympho-myeloid, diffuse-myeloid or pauci-immune) by IHC and gene expression profiling by Nanostring.

results128/200 patients were classified as RA1987, 25 as RA2010 and 47 as UA. Patients classified as RA1987 criteria had significantly higher levels of disease activity, histological synovitis, degree of immune cell infiltration and differential upregulation of genes involved in B and T cell activation/function compared with RA2010 or UA, which shared similar clinical and pathobiological features. At 12-month follow-up, a significantly higher proportion of patients classified as lympho-myeloid pathotype required biological therapy. Performance of a clinical prediction model for biological therapy requirement was improved by the integration of synovial pathobiological markers from 78.8% to 89%-90%.

conclusionThe capacity to refine early clinical classification criteria through synovial pathobiological markers offers the potential to predict disease outcome and stratify therapeutic intervention to patients most in need.

Indexed as

AlgorithmsAntirheumatic AgentsArthritis, RheumatoidBiological TherapyDisease ProgressionFemaleHumansImage-Guided BiopsyMaleMiddle AgedPrognosisProspective StudiesSeverity of Illness IndexSynovial MembraneUltrasonographyAntirheumatic AgentsEarly Rheumatoid ArthritisSynovitisUltrasonography

Identifiers

PMID31582377
PMCPMC6900253
OpenAlexW2971535569

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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.