Our study aimed to develop a nomogram based on the clinicopathological factors affecting the prognosis of osteosarcoma patients to help clinicians predict the overall survival of osteosarcoma patients. A total of 1362 patients diagnosed with osteosarcoma were enrolled in this study, among which, 1081 cases were enrolled from the SEER database as training group, while 281 patients from two Clinical Medicine Center database were used in validation group. Univariate and multivariate Cox analyses were performed to identify the independent prognostic factors for overall survival. Our results showed that the model displayed good prediction ability, and the calibration plots demonstrated great power both in the training and the validation groups. Therefore, our prediction model could help clinicians evaluate prognoses, identify high-risk individuals, and provide individualized treatment recommendation for patients with osteosarcoma. 

Zige Liu received his master's degree in Ningxia Medical University and Shimane University in 2017 and 2021. He is currently working as a Principal Investigator in the Orthopedic Research Center and the Key Laboratory of Artificial Intelligence and Translational Medicine of Ningxia Hui Autonomous Region People's Hospital, while pursuing his PhD in Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Medical University. He has over 50 publications that have been cited over 200 times.