Parameters of body composition do not predict survival in patients with multiple myeloma undergoing autologous stem cell transplantation.
Barajas Ordonez F., Wolleschak D., Zeller Y., Hinnerichs M., Rodríguez-Feria P., Aghayev A.
Retrospective Study with a reported sample of 129 on Scar, published in Leuk Lymphoma (2024) — summary generated from the PubMed abstract.
Early human evidence such as case series or small samples is exploring possible benefits.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
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- Study type
- Retrospective Study
- Journal
- Leuk Lymphoma (2024)
- Country
- United States
- Reported sample size
- 129
- Source database
- PubMed
- PMID
- 38384127
- DOI
- 10.1080/10428194.2024.2319226
Abstract (original English)
Studies regarding the influence of body composition parameters as predictors on overall survival (OS) in patients with multiple myeloma (MM) are scarce. OS and progression-free survival (PFS) were retrospectively assessed in 129 patients with MM undergoing autologous stem cell transplantation (ASCT) after a follow-up of 2 years. A computed tomography (CT) based semi-automated assessment of body composition was performed. No statistically significant differences were noted in 2-year OS, PFS, or post-transplant adverse events in the body composition groups of subcutaneous adipose tissue (SAT) (low vs. high-SAT), visceral adipose tissue (VAT) (low vs. high-VAT), visceral-to-subcutaneous fat ratio (VSR) (low vs. high VSR), and sarcopenia in terms of skeletal muscle index (SMI) (non-sarcopenic vs. sarcopenic). In conclusion, adipose and muscle tissue do not limit OS or affect the PFS in patients with MM undergoing ASCT.
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • Without an adequate control group, treatment effects cannot be separated from other factors.
Evidence level
Early human evidence such as case series or small samples is exploring possible benefits.
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