骨肉瘤是最常见的骨恶性肿瘤。对于儿童和青少年的预后因素已有许多研究，但成人骨肉瘤的特征和预后因素却很少被研究。本研究的目的是建立一个用于预测成人骨肉瘤预后的打分系统。通过从2004年至2015年的监测、流行病学和结果数据库中下载了所有年龄≥ 18岁的骨肉瘤患者的信息。其中70%的患者被纳入训练集，剩下的30%则被纳入验证集。利用单变量Log-rank分析和多变量Cox回归分析筛选影响成人骨肉瘤预后的独立危险因素。这些危险因素被用来构建一个打分系统来预测成人骨肉瘤3年和5年的预后。多变量Cox回归分析在训练组中确定了6个临床病理特征（年龄、原发部位、肿瘤大小、分级、美国癌症联合委员会分期和手术）对成人骨肉瘤患者预后的影响。一个基于这些预测因子构建的打分系统来评估成人骨肉瘤患者的预后。一致性指数、受试者工作特性曲线和校准曲线分析也显示了该打分系统在预测预后方面的良好性能。构建的打分系统对于准确预测成人骨肉瘤患者的预后是一个有用的工具，可以使临床实践中的患者获得更准确的管理。 © 2023 作者（们）。由 Wolters Kluwer Health, Inc. 发表。

Osteosarcoma is the most common bone malignancy. There are many studies on the prognostic factors of children and adolescents, but the characteristics and prognostic factors of adult osteosarcoma are rarely studied. The aim of this study was to construct a nomogram for predicting the prognosis of adult osteosarcoma. Information on all osteosarcoma patients aged ≥ 18 years from 2004 to 2015 was downloaded from the surveillance, epidemiology and end results database. A total of 70% of the patients were included in the training set and 30% of the patients were included in the validation set. Univariate log-rank analysis and multivariate cox regression analysis were used to screen independent risk factors affecting the prognosis of adult osteosarcoma. These risk factors were used to construct a nomogram to predict 3-year and 5-year prognosis in adult osteosarcoma. Multivariate cox regression analysis yielded 6 clinicopathological features (age, primary site, tumor size, grade, American Joint Committee on Cancer stage, and surgery) for the prognosis of adult osteosarcoma patients in the training cohort. A nomogram was constructed based on these predictors to assess the prognosis of adult patients with osteosarcoma. Concordance index, receiver operating characteristic and calibration curves analyses also showed satisfactory performance of the nomogram in predicting prognosis. The constructed nomogram is a helpful tool for exactly predicting the prognosis of adult patients with osteosarcoma, which could enable patients to be more accurately managed in clinical practice.Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.