Identification of Adult Patients With Dermatomyositis Using Real‐World Data Sources
We developed and validated multiple DM case identification algorithms across diverse databases, demonstrating their accuracy through multiple evaluation methods. This approach enables more generalizable, reproducible research using real-world data and can be applied to other rheumatic diseases.
Authors
- Christopher A. Mecoli (ORCID: https://orcid.org/0000-0002-1429-8392)
- Didem Saygın
- Elizabeth Park (ORCID: https://orcid.org/0000-0002-5277-349X)
- Leland W.K. Chung (ORCID: https://orcid.org/0000-0003-0072-6939)
- Will Kelly
- Thomas Falconer (ORCID: https://orcid.org/0000-0001-6904-1394)
- Priya Desai (ORCID: https://orcid.org/0000-0002-1889-6568)
- David Fiorentino (ORCID: https://orcid.org/0000-0001-7951-3674)
- Gowtham Rao (ORCID: https://orcid.org/0000-0002-4949-7236)
- Azza Shoaibi (ORCID: https://orcid.org/0000-0002-6976-2594)
- Michael George (ORCID: https://orcid.org/0000-0002-0398-2308)
- Sandi Yen (ORCID: https://orcid.org/0000-0001-5757-7693)
- Joel N. Swerdel
- Zachary Wang (ORCID: https://orcid.org/0000-0002-0556-4572)
- Benjamin Martin (ORCID: https://orcid.org/0000-0001-6510-6824)
- Hannah Morgan‐Cooper
Institutions
- Rush University Medical Center (US)
- Johnson & Johnson (United States) (US)
- NewYork–Presbyterian Hospital (US)
- Johns Hopkins University (US)
- Columbia University Irving Medical Center (US)
- Johns Hopkins Medicine (US)
- Stanford Health Care (US)
- New York School of Interior Design (US)
- Stanford Medicine (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Arthritis Care & Research
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1002/acr.25625
- Citations
- 1
- Primary Topic
- Inflammatory Myopathies and Dermatomyositis
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Rheumatology Research Foundation
- Jerome L. Greene Foundation
- National Institutes of Health