ArticleRheumatology (Oxford, England)2020
Impact of ICD10 and secular changes on electronic medical record rheumatoid arthritis algorithms.
Article in Rheumatology (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Accuracy of Diagnostic Codes and Algorithms Used to Identify Rheumatoid Arthritis and Juvenile Idiopathic Arthritis in Administrative Claims and Electronic Health Records: Systematic Review and Meta-Analysis.Arthritis care & research · 2026Pooled it
- ATLAS: an automated association test using probabilistically linked health records with application to genetic studies.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Natural language processing to enhance rheumatoid arthritis care in clinical studies: a scoping review of applications, data, approaches, challenges and future directions.Rheumatology international · 2026Article
- Article
- Quantifying and improving rheumatoid arthritis algorithm performance in biobank settings.Seminars in arthritis and rheumatism · 2025Article
- Risk of Incident Heart Failure and Heart Failure Subtypes in Patients With Rheumatoid Arthritis.Arthritis care & research · 2025Article
- Forced vital capacity trajectories and risk of lung transplant and ILD-related mortality among patients with rheumatoid arthritis-associated interstitial lung disease.Clinical rheumatology · 2024Article
- Reasons for multiple biologic and targeted synthetic DMARD switching and characteristics of treatment refractory rheumatoid arthritis.Seminars in arthritis and rheumatism · 2024Article
- Semisupervised transfer learning for evaluation of model classification performance.Biometrics · 2024Article
- Nationwide study on the prevalence of rheumatoid factor and anticitrullinated peptide positivity and their contribution to rheumatoid arthritis diagnosis.Turkish journal of medical sciences · 2024Article
- Semisupervised Calibration of Risk with Noisy Event Times (SCORNET) using electronic health record data.Biostatistics (Oxford, England) · 2023Article
- Utilizing biologic disease-modifying anti-rheumatic treatment sequences to subphenotype rheumatoid arthritis.Arthritis research & therapy · 2023Article
- Associations of the MUC5B promoter variant with timing of interstitial lung disease and rheumatoid arthritis onset.Rheumatology (Oxford, England) · 2022Article
- Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review.Rheumatology and therapy · 2022Review
- Demographic, Lifestyle, and Serologic Risk Factors for Rheumatoid Arthritis (RA)-associated Bronchiectasis: Role of RA-related Autoantibodies.The Journal of rheumatology · 2022Article
- Association of Sinusitis and Upper Respiratory Tract Diseases With Incident Rheumatoid Arthritis: A Case-control Study.The Journal of rheumatology · 2022Article
- [Perspectives for rheumatological health services research at the German Rheumatism Research Center].Zeitschrift fur Rheumatologie · 2020Review
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Authors and funding
11 authors.
Funding
Abstract
objectiveThe objective of this study was to compare the performance of an RA algorithm developed and trained in 2010 utilizing natural language processing and machine learning, using updated data containing ICD10, new RA treatments, and a new electronic medical records (EMR) system.
methodsWe extracted data from subjects with ≥1 RA International Classification of Diseases (ICD) codes from the EMR of two large academic centres to create a data mart. Gold standard RA cases were identified from reviewing a random 200 subjects from the data mart, and a random 100 subjects who only have RA ICD10 codes. We compared the performance of the following algorithms using the original 2010 data with updated data: (i) a published 2010 RA algorithm; (ii) updated algorithm, incorporating ICD10 RA codes and new DMARDs; and (iii) published algorithm using ICD codes only, ICD RA code ≥3.
resultsThe gold standard RA cases had mean age 65.5 years, 78.7% female, 74.1% RF or antibodies to cyclic citrullinated peptide (anti-CCP) positive. The positive predictive value (PPV) for ≥3 RA ICD was 54%, compared with 56% in 2010. At a specificity of 95%, the PPV of the 2010 algorithm and the updated version were both 91%, compared with 94% (95% CI: 91, 96%) in 2010. In subjects with ICD10 data only, the PPV for the updated 2010 RA algorithm was 93%.
conclusionThe 2010 RA algorithm validated with the updated data with similar performance characteristics as the 2010 data. While the 2010 algorithm continued to perform better than the rule-based approach, the PPV of the latter also remained stable over time.
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