Purpose. Due to the rarity, it is difficult to predict the survival of patients with fibrosarcoma. This study aimed to apply a\nnomogram to predict survival outcomes in patients with fibrosarcoma. Methods. A total of 2235 patients with diagnoses of\nfibrosarcoma were registered in the Surveillance, Epidemiology, and End Results database, of whom 663 patients were eventually\nenrolled. Univariate and multivariate Cox analyses were used to identify independent prognostic factors. Nomograms were\nconstructed to predict 3-year and 5-year overall survival and cancer-specific survival of patients with fibrosarcoma. Results. In\nunivariate and multivariate analyses of OS, age, sex, race, tumor stage, pathologic grade, use of surgery, and tumor size were\nidentified as independent prognostic factors. Age, sex, tumor stage, pathologic grade, use of surgery, and tumor size were\nsignificantly associated with CSS. These characteristics were further included to establish the nomogram for predicting 3-year and\n5-year OS and CSS. For the internal validation of the nomogram predictions of OS and CSS, the C-indices were 0.784 and 0.801.\nConclusion. We developed the nomograms that estimated 3-year and 5-year OS and CSS. These nomograms not only have good\ndiscrimination performance and calibration but also provide patients with better clinical benefits.
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