Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Epidemiology, Incidence, and Survival of Rhabdomyosarcoma Subtypes: SEER and ICES Database Analysis

作者:Kamil M. Amer, Jennifer E. Thomson, Dominick V. Congiusta, Andrew Dobitsch, Ahmed Chaudhry, Matthew Li, Aisha Chaudhry, Anthony Bozzo, Brianna L. Siracuse, Mahmut Nedim Aytekin, Michelle Ghert, Kathleen S. Beebe · 发表于:Journal of Orthopaedic Research® · 年份:2019 · DOI:10.1002/jor.24387 · 被引用次数:146 · 研究领域:Sarcoma Diagnosis and Treatment、Surgical site infection prevention、Bone Tumor Diagnosis and Treatments

analysis. Survival was modeled with Kaplan-Meier survival curves and Cox proportional hazards models were used to assess the effect of age and gender on survival. Pleomorphic subtype had higher grade and larger sized tumors compared to other subtypes (p < 0.05). Pleomorphic and alveolar rhabdomyosarcoma had the worst overall survival with a 26.6% and 28.9% 5-year survival, respectively. Embryonal rhabdomyosarcoma had the highest 5-year survival rate (73.9%). Tumor size was negatively correlated with survival months, indicating patients with larger tumors had shorter survival times (p < 0.05). Presence of higher-grade tumors and metastatic disease at presentation were negatively correlated with survival months (p < 0.05). No significant differences in the survival were found between gender or race between all of the subtypes (p > 0.05). This study highlights key differences in the demographic and survival rates of the different types of rhabdomyosarcoma that can be used for more tailored patient counseling. We also demonstrate that large, population-level databases provide sufficient data that can be used in the analysis of rare tumors. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 37:2226-2230, 2019.