ReviewJournal of personalized medicine2025
Biopsy-Driven Synovial Pathophenotyping in RA: A New Approach to Personalized Treatment.
Review in Journal of personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Article
- Diagnostic, prognostic and therapeutic biomarkers in rheumatoid arthritis.Nature reviews. Rheumatology · 2026Review
- Pathogenic Drivers of Difficult-to-Treat Rheumatoid Arthritis: Synovium and Beyond.International journal of molecular sciences · 2026Review
- Targeting the synovial engine: next-generation engineered immune cells to eradicate pathogenic FLS in rheumatoid arthritis, with safety-first, selective designs.Frontiers in immunology · 2026Review
- Immunological heterogeneity in rheumatoid arthritis: challenges in early-stage stratification, non-response to targeted therapy, and the restoration of immune tolerance.Frontiers in immunology · 2026Review
- Immunometabolism in rheumatoid arthritis: mechanisms, biomarkers, and the path to precision medicine.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diagnosis and treatment of rheumatoid arthritis (RA) have been constantly evolving for decades, pointing towards early diagnostic and therapeutic interventions. Synovial biopsy has emerged as a pivotal tool in precision medicine, transitioning from a research procedure to a clinically feasible approach. Modern ultrasound-guided techniques allow safe, reproducible access to inflamed joints, enabling direct analysis of the synovial tissue, which reveals biological heterogeneity undetectable in peripheral blood. Histological scoring, including the Krenn synovitis score, discriminates inflammatory from non-inflammatory pathology, supporting targeted escalation of immunosuppressive therapy. Molecular and histological profiling has defined distinct synovial pathotypes-lympho-myeloid, diffuse-myeloid, and fibroid/pauci-immune-with reproducible associations to therapeutic responsiveness. Moreover, biopsy-driven trials, such as R4RA and STRAP, demonstrate that pathotype-guided strategies can predict outcomes: diffuse-myeloid synovitis responds to IL-6 receptor blockade, lympho-myeloid synovitis to B cell depletion, and fibroid synovitis exhibits multidrug resistance. In difficult-to-treat RA, synovial biopsy differentiates inflammatory from non-inflammatory drivers of persistent symptoms, providing a rational basis for therapy selection. Ongoing biomarker-driven initiatives, including PRECISion and 3TR Precis-The-RA, aim to embed biopsy findings into clinical decision-making. In this review, it is underscored that the integration of histology, molecular profiling, and clinical context positions synovial biopsy as a patient-centered precision approach, guiding individualized therapy and bridging RA stratification with clinical practice.
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What OpenQuestion holds
Registered trials
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.