Development and evaluation of a multivariable prediction model for clinical improvement in an established cohort of Colombian rheumatoid arthritis patients
AI models in RA can predict clinical improvement at initial consultations, enabling targeted approaches. Disease severity may be influenced by anti-CCP positivity and the use of biologic therapies when conventional treatments fail.
Authors
- Pedro A. Rodríguez (ORCID: https://orcid.org/0000-0002-3319-2577)
- P. Santos-Moreno (ORCID: https://orcid.org/0000-0001-7802-0317)
- Claudia Ibáñez (ORCID: https://orcid.org/0000-0001-6063-277X)
- Adriana Rojas‐Villarraga (ORCID: https://orcid.org/0000-0003-3145-2440)
- Gabriel-Santiago Rodríguez-Vargas (ORCID: https://orcid.org/0000-0003-1613-7100)
- F. Rodríguez (ORCID: https://orcid.org/0000-0003-1887-7161)
Institutions
- Universidad El Bosque (CO)
- Fundación Universitaria de Ciencias de la Salud (CO)
Publication Details
- Journal
- Therapeutic Advances in Musculoskeletal Disease
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1177/1759720x251342426
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.00