Improving accuracy of self-reported diagnoses of rheumatoid arthritis in the French prospective E3N-EPIC cohort: a validation study.
Yann NguyenCarine SalliotGaëlle GustoElise DescampsXavier MarietteMarie-Christine Boutron-RuaultRaphaèle SerorPublished in: BMJ open (2019)
Accuracy of self-reported RA is poor but adding answers to a specific questionnaire or data from a medication reimbursement database performed satisfactorily to identify RA cases in our cohort. It will subsequently allow investigating many potential risk factors of RA in women.
Keyphrases
- rheumatoid arthritis
- disease activity
- risk factors
- ankylosing spondylitis
- interstitial lung disease
- adverse drug
- systemic lupus erythematosus
- polycystic ovary syndrome
- healthcare
- cross sectional
- big data
- type diabetes
- pregnancy outcomes
- machine learning
- pregnant women
- adipose tissue
- climate change
- artificial intelligence