A diagnostic model for assessing the risk of osteoporosis in patients with rheumatoid arthritis based on bone turnover markers
Our model is user-friendly and has shown good predictive performance in both internal and internal hold-out validation, offering new insights for the early screening and treatment of OP risk in RA patients.
Authors
- Zihang Xu (ORCID: https://orcid.org/0000-0002-1081-5559)
- Qianqian Liang (ORCID: https://orcid.org/0000-0001-8797-7778)
- Xiaoyu Yang (ORCID: https://orcid.org/0000-0003-0273-9573)
- Yazhu Yang
- Yongjian Zhao (ORCID: https://orcid.org/0009-0003-6443-0464)
- Ning Li (ORCID: https://orcid.org/0000-0002-8388-5080)
- Yongjun Wang (ORCID: https://orcid.org/0000-0001-9333-2423)
- Hong Zhang (ORCID: https://orcid.org/0000-0002-6191-0046)
- Yubo Shao
- Hao Xu (ORCID: https://orcid.org/0000-0002-8311-506X)
- Qi Shi (ORCID: https://orcid.org/0000-0003-4727-1337)
Institutions
- Shanghai University of Traditional Chinese Medicine (CN)
- Longhua Hospital Shanghai University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Arthritis Research & Therapy
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1186/s13075-025-03544-5
- Citations
- 3
- Primary Topic
- Bone Metabolism and Diseases
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Shanghai Municipal Health Commission
- National Natural Science Foundation of China
- State Administration of Traditional Chinese Medicine of the People's Republic of China
- Shanghai University of Traditional Chinese Medicine
- Sanming Project of Medicine in Shenzhen
- Science and Technology Innovation Plan Of Shanghai Science and Technology Commission