Machine learning-based nomogram predicts heart failure risk in elderly relapsed/refractory multiple myeloma patients receiving carfilzomib-based therapy
This study provides a practical nomogram for cardiovascular risk assessment in elderly RRMM patients receiving carfilzomib-based therapy, which may assist clinicians in early risk stratification and support tailored monitoring and management throughout treatment.
Authors
- Lei Nie (ORCID: https://orcid.org/0000-0001-7473-5040)
- Conghui Zhu (ORCID: https://orcid.org/0000-0002-3564-4151)
- Hai-bin Ding
- Dongfang Qiao (ORCID: https://orcid.org/0000-0003-2527-9039)
- Ren-an Chen
Institutions
- First Hospital of Xi'an (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-03
- DOI
- https://doi.org/10.3389/fonc.2025.1624680
- Citations
- 1
- Primary Topic
- Multiple Myeloma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.77
Funders
- Key Research and Development Projects of Shaanxi Province