ArticleRheumatology (Oxford, England)2022
Predictors of interest in predictive testing for rheumatoid arthritis among first degree relatives of rheumatoid arthritis patients.
Article in Rheumatology (Oxford, England), 2022. 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
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The trial behind it
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Dynamic psychological vulnerability and adaptation in rheumatoid arthritis: Trajectories, predictors, and interventions.World journal of psychiatry · 2026Review
- The Association of Chronic Periodontitis as a Potential Risk Factor with Rheumatoid Arthritis: A Nested Case-Control Study Using a Korean National Health Screening Cohort.Biomedicines · 2024Article
- Can the General Public Be a Proxy for an "At-Risk" Group in a Patient Preference Study? A Disease Prevention Example in Rheumatoid Arthritis.Medical decision making : an international journal of the Society for Medical Decision Making · 2024Article
- Stakeholder perceptions of preventive approaches to rheumatoid arthritis: qualitative study of healthcare professionals' perspectives on predictive and preventive strategies.BMC rheumatology · 2023Article
- Preferences for preventive treatments for rheumatoid arthritis: discrete choice survey in the UK, Germany and Romania.Rheumatology (Oxford, England) · 2023Article
- Article
- Preferences and Insights for Participation in a Rheumatoid Arthritis Clinical Prevention Trial: A Mixed-Methods Study.ACR open rheumatology · 2022Article
- Incident Rheumatoid Arthritis Following Statin Use: From the View of a National Cohort Study in Korea.Journal of personalized medicine · 2022Article
- Perspectives of at-Risk Individuals on Preventive Intervention for Rheumatoid Arthritis: A Mini Review.Frontiers in immunology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesThere is increasing interest in prediction and prevention of RA. It is important to understand the views of those at risk to inform the development of effective approaches. First-degree relatives (FDRs) of RA patients are at increased risk of RA. This study assessed predictors of their interest in predictive testing for RA.
methodsQuestionnaires were completed by RA patients (provided with their questionnaire by a healthcare professional) and their FDRs (provided with their questionnaire by their RA proband). FDR surveys assessed interest in taking a predictive test, demographic variables, perceived RA risk, attitudes about predictive testing, autonomy preferences, illness perceptions, avoidance coping and health anxiety. Patient surveys included demographic variables, disease impact, RA duration and treatment. Ordinal logistic regression examined the association between FDRs' characteristics and their interest in predictive testing. Generalized estimating equations assessed associations between patient characteristics and FDRs' interest in predictive testing.
resultsThree hundred and ninety-six FDRs responded. Paired data from the RA proband were available for 292. The proportion of FDRs interested in predictive testing was 91.3%. Information-seeking preferences, beliefs that predictive testing can increase empowerment over health and positive attitudes about risk knowledge were associated with increased interest. Beliefs that predictive testing could cause psychological harm predicted lower interest. Patient characteristics of the proband were not associated with FDRs' interest.
conclusionsFDRs' interest in predictive testing for RA was high, and factors associated with interest were identified. These findings will inform the development of predictive strategies and informational resources for those at risk.
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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.