A retrospective statistical analysis of high-grade soft tissue sarcomas. Med Oncol 2012 Jun;29(2):1335-44
Date
05/10/2011Pubmed ID
21553104DOI
10.1007/s12032-011-9970-4Scopus ID
2-s2.0-84866303595 (requires institutional sign-in at Scopus site) 18 CitationsAbstract
Soft-tissue sarcomas have a mortality rate ranging from 40-60% for high-grade lesions. Prior identified risk factors for post-surgical mortality include tumor size, lesion histology, and margin status at resection. A better understanding of prognostic factors is needed to guide patient counseling and treatment. Data were collected from 129 patients surgically treated for high-grade extremity soft tissue sarcomas during 2002-2010. The primary endpoint was death related to high-grade soft tissue sarcoma. Thirteen variables were investigated: age, gender, race, tumor size, margin status, location, estimated blood loss, operative blood transfusions, pre-operative metastatic disease, pre-operative radiation, post-operative radiation, pre-operative chemotherapy, and post-operative chemotherapy. A Cox Survival Analysis model was created to determine the best predictors of survival time. Tumor size and the presence of pre-surgical metastasis were statistically significant predictors of overall survival. Patients with a tumor greater than 8 cm in any cross section had a 3.15 times greater chance of death. Presence of pre-surgical metastasis carried a 3.47 greater chance of death. The remaining variables did not predict patient outcomes in a statistically significant manner. The hazard ratios calculated add new data and can be used to more effectively guide patients in prognosis and treatment regimens.
Author List
Kolovich GG, Wooldridge AN, Christy JM, Crist MK, Mayerson JL, Scharschmidt TJAuthor
Adam Neal Wooldridge MD, MPH Assistant Professor in the Orthopaedic Surgery department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
FemaleFollow-Up Studies
Humans
Male
Middle Aged
Neoplasm Grading
Neoplasm Recurrence, Local
Prognosis
Proportional Hazards Models
Retrospective Studies
Risk Factors
Sarcoma
Survival Rate