Predicting worsening risk in MGFA class I, II and III myasthenia gravis patients: development and validation of a predictive nomogram
This nomogram integrates accessible clinical variables to stratify MG worsening risk, enabling early intervention. Validation through multicenter prospective studies is warranted to optimize generalizability.
Authors
- Song Pang
- Anni Xiong
- Siyang Peng (ORCID: https://orcid.org/0000-0001-5154-8824)
- Yanyuan Du
- Wen Zhu (ORCID: https://orcid.org/0000-0002-7734-9943)
- Lei Meng
Institutions
- Guang’anmen Hospital (CN)
Publication Details
- Journal
- Expert Review of Clinical Immunology
- Published
- 2025-04-30
- DOI
- https://doi.org/10.1080/1744666x.2025.2494653
- Primary Topic
- Myasthenia Gravis and Thymoma
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Academy of Chinese Medical Sciences