Prognostic Factors and Surgical Impact of Non‐metastatic Conventional Chondrosarcoma of the Extremities

Autor: Wenhui Wang, Junping Zhen
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Orthopaedic Surgery, Vol 15, Iss 12, Pp 3288-3299 (2023)
Druh dokumentu: article
ISSN: 1757-7861
1757-7853
DOI: 10.1111/os.13916
Popis: Objective Chondrosarcoma is a common bone malignancy, and the main treatment method is surgery. Different surgeries lead to different survival outcomes. The aim of this study was to construct a new clinical predictive tool to accurately predict the overall survival (OS) and cause specific survival (CSS) of patients with chondrosarcoma receiving different treatments. Methods A total of 620 patients with chondrosarcoma registered between January 1, 2000 and December 31, 2016 were recruited as study targets. The missing values are filled by multiple imputation. Two continuous variables, age and tumor size, were divided into binary variables based on Kaplan–Meier curve. Univariate and multivariate analyses were used to explore predictors and establish nomograms. Propensity score matching (PSM) analysis was used to reduce the impact of potential confounders to determine whether different surgical modalities had any survival benefits in subgroups. Results In a multivariate cox regression, age, grade, tumor size, radiotherapy, chemotherapy, and surgical methods were identified as independent prognostic factors for chondrosarcoma. To construct 1‐, 3‐, and 5‐year nomogram maps of OS and CSS with prognostic factors and verify the c index internally (OS, 0.807; CSS, 0.847) above American Joint Committee on Cancer (AJCC) (OS, 0.685; CSS, 0.732). Conclusion This study found that the 5 year overall survival rate of patients with non‐metastatic chondrosarcoma of the extremities was about 80%. Age, high malignancy, large tumor, prior chemoradiotherapy, and poor surgical selection were independent risk factors. Therefore, the nomogram established in this study will help to optimize clinicians' personalized decision making for patients.
Databáze: Directory of Open Access Journals
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