Predictive models for non-response to conventional treatment in polymyositis and dermatomyositis
These findings suggest that predictive models based on clinical, pathological, and imaging features can effectively identify PM/DM patients who are non-responsive to conventional therapy, potentially providing a tool for personalized treatment.
Authors
- Yuan Yao
- Xinyue Zhao (ORCID: https://orcid.org/0000-0002-7525-8511)
- Bo Zang (ORCID: https://orcid.org/0000-0001-7534-8595)
- Ruiwen Liang
- Chunli Xu (ORCID: https://orcid.org/0000-0003-1247-6308)
- Lingwei Liu
- Dacheng Li (ORCID: https://orcid.org/0000-0002-0487-2581)
- Lishan Xu (ORCID: https://orcid.org/0000-0002-9986-9368)
- Hua Li (ORCID: https://orcid.org/0000-0001-7801-7409)
- Bin Liu (ORCID: https://orcid.org/0000-0003-0424-0629)
- Qinqin Liu (ORCID: https://orcid.org/0000-0003-2672-4341)
- Peng Zhao (ORCID: https://orcid.org/0000-0002-0816-8161)
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Shengli Oilfield Central Hospital (CN)
- Liaocheng People's Hospital (CN)
- University of California, Davis (US)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-09-26
- DOI
- https://doi.org/10.3389/fmed.2025.1596858
- Primary Topic
- Inflammatory Myopathies and Dermatomyositis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province