ArticleRheumatology (Oxford, England)2025
Prodromal symptoms of rheumatoid arthritis in a primary care database: variation by ethnicity and socioeconomic status.
Article in Rheumatology (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Exploring the self-care experiences of patients with rheumatoid arthritis through qualitative content analysis.Scientific reports · 2025Article
- Healthcare use is elevated two decades before a first demyelinating event and differs by age and sex.Annals of clinical and translational neurology · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
objectivesTo assess whether prodromal symptoms of RA, as recorded in the Clinical Practice Research Datalink Aurum (CPRD) database of English primary care records, differ by ethnicity and socioeconomic status.
methodsA cross-sectional study to determine the coding of common symptoms (≥0.1% in the sample) in the 24 months preceding RA diagnosis in CPRD Aurum, recorded between 1 January 2004 and 1 May 2022. Eligible cases were adults with a code for RA diagnosis. For each symptom, a logistic regression was performed with the symptom as dependent variable, and ethnicity and socioeconomic status as independent variables. Results were adjusted for sex, age, BMI and smoking status. White ethnicity and the highest socioeconomic quintile were comparators.
resultsIn total, 70 115 cases were eligible for inclusion, of which 66.4% were female. Twenty-one symptoms were coded in >0.1% of cases so were included in the analysis. Patients of South Asian ethnicity had higher frequency of codes for several symptoms, with the largest difference by odds ratio being muscle cramps (1.71, 99.76 % confidence interval 1.44-2.57) and shoulder pain (1.44, 1.25-1.66). Patients of Black ethnicity had higher prevalence of several codes including unintended weight loss (2.02, 1.25-3.28) and ankle pain (1.51, 1.02-2.23). Low socioeconomic status was associated with morning stiffness (1.74, 1.08-2.80) and falls (1.37, 2.03-1.82).
conclusionThere are significant differences in coded symptoms between demographic groups, which must be considered in clinical practice in diverse populations and to avoid algorithmic bias in prediction tools derived from routinely collected healthcare data.
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