Association Between Patient Demographics and Smoldering Multiple Myeloma Progression to Multiple Myeloma: A SEER-Medicare Data Analysis
This analysis provided insight into important parameters for MM natural history modeling by demonstrating that only age, but not race and gender, is negatively associated with SMM progression.
Authors
- Su‐Hsin Chang (ORCID: https://orcid.org/0000-0001-5872-9556)
- Natalia Neparidze (ORCID: https://orcid.org/0000-0001-9038-077X)
- Poy Theprungsirikul (ORCID: https://orcid.org/0000-0001-9501-4218)
- Xiaomei Ma (ORCID: https://orcid.org/0000-0001-9472-8032)
- Rong Wang (ORCID: https://orcid.org/0000-0002-2169-4174)
- Shi‐Yi Wang (ORCID: https://orcid.org/0000-0002-3294-5784)
- Ishfaq Ahmad
Institutions
- Oregon Health & Science University (US)
- Washington University in St. Louis (US)
- Yale Cancer Center (US)
Publication Details
- Journal
- Clinical Lymphoma Myeloma & Leukemia
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1016/j.clml.2025.06.016
- Primary Topic
- Multiple Myeloma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- California Department of Public Health
- University of Southern California
- Centers for Disease Control and Prevention
- Centers for Medicare and Medicaid Services
- National Cancer Institute