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BackgroundLung metastases (LM) have a poor prognosis of osteosarcoma. This study aimed to predict the risk of LM using the nomogram in patients with osteosarcoma.MethodsA total of 1100 patients who were diagnosed as osteosarcoma between 2010 and 2019 in the Surveillance, Epidemiology and End Results (SEER) database were selected as the training cohort. Univariate and multivariate logistic regression analyses were used to identify independent prognostic factors of osteosarcoma lung metastases. 108 osteosarcoma patients from a multicentre dataset was as valiation data. The predictive power of the nomogram model was assessed by receiver operating characteristic curves (ROC) and calibration plots, and decision curve analysis (DCA) was utilized to interpret the accurate validity in clinical practice.ResultsA total of 1208 patients with osteosarcoma from both the SEER database(n=1100) and the multicentre database (n=108) were analyzed. Univariate and multivariate logistic regression analyses showed that Survival time, Sex, T-stage, N-stage, Surgery, Radiation, and Bone metastases were independent risk factors for lung metastasis. We combined these factors to construct a nomogram for estimating the risk of lung metastasis. Internal and external validation showed significant predictive differences (AUC 0.779, 0.792 respectively). Calibration plots showed good performance of the nomogram model.ConclusionsIn this study, a nomogram model for predicting the risk of lung metastases in osteosarcoma patients was constructed and turned out to be accurate and reliable through internal and external validation. Moreover we built a webpage calculator (https://drliwenle.shinyapps.io/OSLM/) taken into account nomogram model to help clinicians make more accurate and personalized predictions.

Supplemental material, sj-pdf-1-hol-10.1177_09596836221131698 for Understanding the transport networks complex between South Asia, Southeast Asia and China during the late Neolithic and Bronze Age by Minmin Ma, Yongxiu Lu, Guanghui Dong, Lele Ren, Rui Min, Lihong Kang, Zhonghua Zhu, Xiaorui Li, Bo Li, Zhijian Yang, Nongbu Cili, Ruiliang Liu, Yu Gao and Fahu Chen in The Holocene

Supplemental Material, sj-pdf-1-ppg-10.1177_03091333221087992 for Spatiotemporal variation in human settlements and their interaction with living environments in Neolithic and Bronze Age China by Guanghui Dong, Yongxiu Lu, Shanjia Zhang, Xiaozhong Huang and Minmin Ma in Progress in Physical Geography: Earth and Environment

Supplemental Material, sj-pdf-1-ppg-10.1177_03091333221087992 for Spatiotemporal variation in human settlements and their interaction with living environments in Neolithic and Bronze Age China by Guanghui Dong, Yongxiu Lu, Shanjia Zhang, Xiaozhong Huang and Minmin Ma in Progress in Physical Geography: Earth and Environment

Supplemental material, sj-pdf-1-hol-10.1177_09596836221131698 for Understanding the transport networks complex between South Asia, Southeast Asia and China during the late Neolithic and Bronze Age by Minmin Ma, Yongxiu Lu, Guanghui Dong, Lele Ren, Rui Min, Lihong Kang, Zhonghua Zhu, Xiaorui Li, Bo Li, Zhijian Yang, Nongbu Cili, Ruiliang Liu, Yu Gao and Fahu Chen in The Holocene