Trial reportAnnals of the rheumatic diseases2016
Prediction of disease relapses by multibiomarker disease activity and autoantibody status in patients with rheumatoid arthritis on tapering DMARD treatment.
Trial report in Annals of the rheumatic diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.
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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
46 citing papers in PubMed, 5 syntheses or guidelines pooled it, 93 citations in OpenAlex.
- Multibiomarker disease activity score: an objective tool for monitoring rheumatoid arthritis? A systematic review and meta-analysis.Rheumatology (Oxford, England) · 2023Pooled it
- Treatment Withdrawal Following Remission in Juvenile Idiopathic Arthritis: A Systematic Review of the Literature.Paediatric drugs · 2019Pooled it
- Prediction of key regulators and downstream targets of E. coli induced mastitis.Journal of applied genetics · 2019Pooled it
- Correlation of the Multi-Biomarker Disease Activity Score With Rheumatoid Arthritis Disease Activity Measures: A Systematic Review and Meta-Analysis.Arthritis care & research · 2019Pooled it
- [S2e guideline: treatment of rheumatoid arthritis with disease-modifying drugs].Zeitschrift fur Rheumatologie · 2018Guideline
- A novel multi-biomarker combination predicting relapse from long-term remission after discontinuation of biological drugs in rheumatoid arthritis.Scientific reports · 2021Trial
- Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs.Arthritis research & therapy · 2021Trial
- Proteomic Approaches to Defining Remission and the Risk of Relapse in Rheumatoid Arthritis.Frontiers in immunology · 2021Trial
- Trial
- Optimizing treatment with tumour necrosis factor inhibitors in rheumatoid arthritis-a proof of principle and exploratory trial: is dose tapering practical in good responders?Rheumatology (Oxford, England) · 2017Trial
- Optimizing therapy in inflammatory arthritis: prediction of relapse after tapering or stopping treatment for rheumatoid arthritis patients achieving clinical and radiological remission.Clinical rheumatology · 2016Trial
- Diagnostic, prognostic and therapeutic biomarkers in rheumatoid arthritis.Nature reviews. Rheumatology · 2026Review
- Predictors of relapse after withdrawing biotherapies in children with inactive juvenile idiopathic arthritis: a retrospective cohort study of the JIR cohort.Pediatric rheumatology online journal · 2025Article
- Ectopic Nociceptor Sprouting as a Key Peripheral Driver of Pain in Rheumatoid Arthritis.Current rheumatology reports · 2025Review
- A Novel Multiplex Diagnostic Algorithm for Developing an Optimal Patient-Tailored Therapy in Rheumatoid Arthritis Based on Molecular Stratification.International journal of molecular sciences · 2025Article
- Precision Medicine in Rheumatology: The Role of Biomarkers in Diagnosis and Treatment Optimization.Journal of clinical medicine · 2025Review
- Article
- Tapering csDMARD or TNFi first: is the risk of flares different for ACPA-positive or ACPA-negative rheumatoid arthritis?RMD open · 2024Article
- Predicting Flare in Patients With Rheumatoid Arthritis in Biologic Induced Remission, on Tapering, and on Stable Therapy.ACR open rheumatology · 2024Article
- Assessing the Impact of Influenza Vaccination Timing on Experimental Arthritis: Effects on Disease Progression and Inflammatory Biomarkers.International journal of molecular sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors at 10 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo analyse the role of multibiomarker disease activity (MBDA) score in predicting disease relapses in patients with rheumatoid arthritis (RA) in sustained remission who tapered disease modifying antirheumatic drug (DMARD) therapy in RETRO, a prospective randomised controlled trial.
methodsMBDA scores (scale 1-100) were determined based on 12 inflammation markers in baseline serum samples from 94 patients of the RETRO study. MBDA scores were compared between patients relapsing or remaining in remission when tapering DMARDs. Demographic and disease-specific parameters were included in multivariate logistic regression analysis for defining predictors of relapse.
resultsModerate-to-high MBDA scores were found in 33% of patients with RA overall. Twice as many patients who relapsed (58%) had moderate/high MBDA compared with patients who remained in remission (21%). Baseline MBDA scores were significantly higher in patients with RA who were relapsing than those remaining in stable remission (N=94; p=0.0001) and those tapering/stopping (N=59; p=0.0001). Multivariate regression analysis identified MBDA scores as independent predictor for relapses in addition to anticitrullinated protein antibody (ACPA) status. Relapse rates were low (13%) in patients who were MBDA-/ACPA-, moderate in patients who were MBDA+/ACPA- (33.3%) and MBDA-ACPA+ (31.8%) and high in patients who were MBDA+/ACPA+ (76.4%).
conclusionsMBDA improved the prediction of relapses in patients with RA in stable remission undergoing DMARD tapering. If combined with ACPA testing, MBDA allowed prediction of relapse in more than 80% of the patients. TRIAL REGISTRATION NUMBER: EudraCT 2009-015740-42.
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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.