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- W3112697888 abstract "Abstract Objective : Lung metastasis of chondrosarcoma is associated with poor prognosis. The purpose of this study was to develop and validate the nomogram to predict the risk of lung metastasis in patients with chondrosarcoma, thus contributing to clinical diagnosis and treatment. Methods : Data on chondrosarcoma patients from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2016 were then screened by univariate and multivariate Logistic regression to construct a Nomogram predicting lung metastasis risk. Nomogram model discrimination was assessed by calibration charts, while prediction accuracy and clinical values were measured by decision curve analysis (DCA) and clinical impact charts. In addition, the predicted Nomogram were validated in the internal test set. Results : A total of 944 patients were enrolled and randomly divided into the training group (n=664) and the validation group (n=280) in a ratio of 7 to 3.After logistics regression analysis, significant variables were gender, age, marital status, tumor volume and lymphatic metastasis. Calibration curves show consistency between Nomogram predictions and actual observations, while DCA and clinical impact diagrams show the clinical utility of Nomogram. In addition, ROC also showed good discrimination and calibration in the training group (AUC = 0.789, 95%CI 0.789 -- 0.808) and the validation group (AUC = 0.796, 95%CI 0.744 -- 0.841). Conclusions : Nomogram for lung metastases in chondrosarcoma can effectively predict the individual risk of lung metastases and provide clinicians with enlightening information to optimize treatment." @default.
- W3112697888 created "2020-12-21" @default.
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- W3112697888 date "2020-12-07" @default.
- W3112697888 modified "2023-10-01" @default.
- W3112697888 title "Risk Analysis for Pulmonary Metastasis of Chondrosarcoma and Establishment and Validation of Novel Clinical Prediction Models: a Clinical Study Based on the SEER Database" @default.
- W3112697888 doi "https://doi.org/10.21203/rs.3.rs-120575/v1" @default.
- W3112697888 hasPublicationYear "2020" @default.
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