ReviewMedicina (Kaunas, Lithuania)2024
Synovial Fluid Markers and Extracellular Vesicles in Rheumatoid Arthritis.
Review in Medicina (Kaunas, Lithuania), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- The Role of Metals and Trace Elements in the Pathogenesis of Osteoarthritis and Other Rheumatic Diseases.International journal of molecular sciences · 2026Review
- Diagnostic, prognostic and therapeutic biomarkers in rheumatoid arthritis.Nature reviews. Rheumatology · 2026Review
- Synovial microenvironment and fluorescence imaging for early rheumatoid arthritis diagnosis.Journal of pharmaceutical analysis · 2026Review
- Glycosylation of Extracellular Vesicles: Analytical and Translational Insights into Biomarker Discovery and Regenerative Medicine.International journal of molecular sciences · 2026Review
- Platelet-derived non-coding RNAs as emerging contributors to autoimmune inflammation.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Post-translational modifications in extracellular microvesicles from plasma of rheumatoid arthritis patients following anti-TNFα therapy.Clinical and experimental immunology · 2026Article
- Extracellular vesicles in rheumatoid arthritis: emerging roles in progression, diagnosis, and therapeutic development.Frontiers in immunology · 2026Review
- Healthcare Interventions in the Management of Rheumatic Diseases: A Narrative Analysis of Effectiveness and Emerging Strategies.Healthcare (Basel, Switzerland) · 2025Review
- Efficacy and Potential Mechanisms of Yi-Ping Lin Circum-Knee Acupuncture in the Treatment of Knee Osteoarthritis.Journal of pain research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, numerous potential prognostic biomarkers for rheumatoid arthritis (RA) have been investigated. Despite these advancements, clinical practice primarily relies on autoantibody tests-for rheumatoid factor (RF) and anti-citrullinated protein antibody (anti-CCP)-alongside inflammatory markers, such as the erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP). Expanding the repertoire of diagnostic and therapeutic biomarkers is critical for improving clinical outcomes in RA. Emerging evidence highlights the significance of synovial fluid biomarkers, including aggrecan, matrix metalloproteinases, glucosyl-galactosyl-pyridinoline, hyaluronic acid, S100 proteins, calprotectin, and various cytokines, as well as immunological markers. Additionally, specific components of extracellular vesicles, such as non-coding RNAs, heat shock proteins, and lipids, are gaining attention. This review focuses on molecular markers found in synovial fluid and extracellular vesicles, excluding clinical and imaging biomarkers, and explores their potential applications in the diagnosis and management of RA.
Indexed as
Identifiers
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.