A novel nomogram to predict psoriatic arthritis in patients with plaque psoriasis
We have developed a quantitative, intuitive, and convenient predictive model based on nail psoriasis, synovitis, enthesitis, and bone erosion to assess the risk of PsA in patients with plaque psoriasis.
Authors
- Jing Yang (ORCID: https://orcid.org/0000-0001-9882-4697)
- Wu Zhu (ORCID: https://orcid.org/0000-0002-3645-7059)
- Minjia Tan (ORCID: https://orcid.org/0000-0002-8250-8216)
- Yehong Kuang (ORCID: https://orcid.org/0000-0002-1133-1791)
- Jingjin Hu
- Xingyu Li (ORCID: https://orcid.org/0000-0002-3795-4794)
- Kun Hu (ORCID: https://orcid.org/0009-0009-0378-4369)
- Mi Zhang (ORCID: https://orcid.org/0000-0001-6795-0076)
- Junchen Chen (ORCID: https://orcid.org/0000-0003-0288-6549)
- Liqiu Liao
- Jiaomei Cheng
Institutions
- Central South University (CN)
- Sun Yat-sen University (CN)
- Xiangya Hospital Central South University (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
Publication Details
- Journal
- JDDG Journal der Deutschen Dermatologischen Gesellschaft
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1111/ddg.15446
- Citations
- 1
- Primary Topic
- Spondyloarthritis Studies and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China