ReviewRheumatology (Oxford, England)2016
Strategies to predict rheumatoid arthritis development in at-risk populations.
Review in Rheumatology (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
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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
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Acceptability of predictive testing for ischemic heart disease in those with a family history and the impact of results on behavioural intention and behaviour change: a systematic review.BMC public health · 2022Pooled it
- Effectiveness of a Web-Based Personalized Rheumatoid Arthritis Risk Tool With or Without a Health Educator for Knowledge of Rheumatoid Arthritis Risk Factors.Arthritis care & research · 2018Trial
- A matter arising: When should inflammatory and autoimmune rheumatic diseases be considered 'early'?European journal of clinical investigation · 2026Review
- Article
- The characteristics of peripheral blood lymphocyte main subsets in rheumatoid arthritis patients concurrent with hepatitis b virus infection: a retrospective cohort study.BMC infectious diseases · 2025Article
- Senolytic treatment to rescue hallmarks of senescence in lymph node fibroblasts from patients with rheumatoid arthritis: Implications for premature aging and potential therapeutic intervention in early rheumatoid arthritis.Clinical and experimental immunology · 2025Article
- Advancing precision rheumatology: applications of machine learning for rheumatoid arthritis management.Frontiers in immunology · 2024Review
- Stakeholder perceptions of preventive approaches to rheumatoid arthritis: qualitative study of healthcare professionals' perspectives on predictive and preventive strategies.BMC rheumatology · 2023Article
- Article
- Changes in peripheral blood T lymphocyte subsets predict disease progression in patients with rheumatoid arthritis.American journal of translational research · 2022Article
- Assessing improved risk prediction of rheumatoid arthritis by environmental, genetic, and metabolomic factors.Seminars in arthritis and rheumatism · 2021Article
- Can Studying Genetically Predisposed Individuals Inform Prevention Strategies for RA?Healthcare (Basel, Switzerland) · 2021Article
- Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis.Therapeutic advances in chronic disease · 2020Article
- Preventing rheumatoid arthritis: Preferences for and predicted uptake of preventive treatments among high risk individuals.PloS one · 2019Article
- Ultrasound is not associated with the presence of systemic autoimmunity or symptoms in individuals at risk for rheumatoid arthritis.RMD open · 2019Article
- Impaired lymph node stromal cell function during the earliest phases of rheumatoid arthritis.Arthritis research & therapy · 2018Article
- Distinctive expression of T cell guiding molecules in human autoimmune lymph node stromal cells upon TLR3 triggering.Scientific reports · 2018Article
- Article
- Comparison of Serological Biomarkers in Rheumatoid Arthritis and Their Combination to Improve Diagnostic Performance.Frontiers in immunology · 2018Article
- Perspectives of patients, first-degree relatives and rheumatologists on preventive treatments for rheumatoid arthritis: a qualitative analysis.BMC rheumatology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
The development of RA is conceived as a multiple hit process and the more hits that are acquired, the greater the risk of developing clinically apparent RA. Several at-risk phases have been described, including the presence of genetic and environmental factors, RA-related autoantibodies and biomarkers and symptoms. Intervention in these preclinical phases may be more effective compared with intervention in the clinical phase. One prerequisite for preventive strategies is the ability to estimate an individual's risk adequately. This review evaluates the ability to predict the risk of RA in the various preclinical stages. Present data suggest that a combination of genetic and environmental factors is helpful to identify persons at high risk of RA among first-degree relatives. Furthermore, a combination of symptoms, antibody characteristics and environmental factors has been shown to be relevant for risk prediction in seropositive arthralgia patients. Large prospective studies are needed to validate and improve risk prediction in preclinical disease stages.
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.