The aim of this study was to identify factors associated with five-year cancer-related mortality in patients with limb and trunk soft-tissue sarcoma (STS) and develop and validate machine learning algorithms in order to predict five-year cancer-related mortality in these patients. Demographic, clinicopathological, and treatment variables of limb and trunk STS patients in the Surveillance, Epidemiology, and End Results Program (SEER) database from 2004 to 2017 were analyzed. Multivariable logistic regression was used to determine factors significantly associated with five-year cancer-related mortality. Various machine learning models were developed and compared using area under the curve (AUC), calibration, and decision curve analysis. The model that performed best on the SEER testing data was further assessed to determine the variables most important in its predictive capacity. This model was externally validated using our institutional dataset.Aims
Methods
Socioeconomic and racial disparities have been recognized as impacting the care of patients with cancer, however there are a lack of data examining the impact of these disparities on patients with bone sarcoma. The purpose of this study was to examine socioeconomic and racial disparities that impact the oncological outcomes of patients with bone sarcoma. We reviewed 4,739 patients diagnosed with primary bone sarcomas from the Surveillance, Epidemiology and End Results (SEER) registry between 2007 and 2015. We examined the impact of race and insurance status associated with the presence of metastatic disease at diagnosis, treatment outcome, and overall survival (OS).Aims
Methods
Few studies dealing with chondrosarcoma of the pelvis are currently
available. Different data about the overall survival and prognostic
factors have been published but without a detailed analysis of surgery-related complications.
We aimed to analyse the outcome of a series of pelvic chondrosarcomas
treated at a single institution, with particular attention to the
prognostic factors. Based on a competing risk model, our objective
was to identify risk factors for the development of complications. In a retrospective single-centre study, 58 chondrosarcomas (26
patients alive, 32 patients dead) of the pelvis were reviewed. The
mean follow-up was 13 years (one week to 23.1 years).Aims
Patients and Methods
