Chen Y, Chi C, Chen D, et al. - This study offers a new nomogram which demonstrated good discriminatory performance and calibration ability for predicting the prognosis of patients with fibrosarcoma post-surgery. This model is built to estimate 1-year, 3-year, and 5-year overall survival (OS) based on the independent risk factors.

• The Surveillance, Epidemiology, and End Results database was used and data were collected from 439 postoperative patients with fibrosarcoma who had surgical resection from 2004 to 2015, to define the risk factors impacting OS in patients with fibrosarcoma after surgery and to construct a prognostic nomogram in these patients.

• Participants were split into a training set (n = 308) and a validation set (n = 131).

• Univariate and multivariate analyses revealed age, race, grade, and historic stage as independent risk factors for overall survival following surgery in patients with fibrosarcoma.

• The prognostic nomogram showed a high predictive accuracy, based on area under the curve of the receiver operating characteristic curves, while the high clinical application of the model was evident in the decision curve analysis.

• Good agreement between predicted and observed survival rates was shown by the calibration curves.