机构：[1]Department of Orthopedic Surgery II, The Second Affiliated Hospital of Xi’anJiao Tong University, Xi’an 710004, China[2]College of Life Science and Technology,Xi’an Jiaotong University, Xi’an 710049, China[3]Molecular Imagingand Translational Medicine Research Center, State Key Laboratory of MolecularVaccinology and Molecular Diagnostics, Xiamen University, Xiamen 361005,China[4]Clinical Medical Research Center, Xianyang Central Hospital, Xianyang712099, China[5]Department of Spine Surgery, Second Affiliated Hospitalof Dalian Medical University, Dalian 116000, China[6]The Second ClinicalCollege, Guangzhou University of Chinese Medicine, Guangzhou 510000,China[7]Intelligent Healthcare Team, Baidu Inc, Beijing 100089, China[8]EmergencyDepartment, People’s Hospital of Ningxia Hui Autonomous Region,Yinchuan 750000, China[9]Department of Spine Surgery, Liuzhou People’sHospital, Liuzhou 545000, China[10]Medical Big Data Research Center, PLAGeneral Hospital, Beijing 100853, China[11]National Engineering Laboratoryfor Medical Big Data Application Technology, Chinese PLA General Hospital,Beijing 100853, China[12]School of Physics and Technology, Wuhan University,Wuhan 430072, China[13]Orthopaedic Medical Center, The Second Hospitalof Jilin University, Changchun 130000, China[14]Neurology department, Xi’anjiaotong university 1st affiliated hospital, Xian 71000, China[15]Faculty of Medicine,Macau University of Science and Technology, Macau 999078, China
Objective: The aim of this study was to establish and validate a clinical prediction model for assessing the risk of metastasis and patient survival in Ewing's sarcoma (ES). Methods: Patients diagnosed with ES from the Surveillance, Epidemiology and End Results (SEER) database for the period 2010-2016 were extracted, and the data after exclusion of vacant terms was used as the training set (n=767). Prediction models predicting patients' overall survival (OS) at 1 and 3 years were created by cox regression analysis and visualized using Nomogram and web calculator. Multicenter data from four medical institutions were used as the validation set (n=51), and the model consistency was verified using calibration plots, and receiver operating characteristic (ROC) verified the predictive ability of the model. Finally, a clinical decision curve was used to demonstrate the clinical utility of the model. Results: The results of multivariate cox regression showed that age,, bone metastasis, tumor size, and chemotherapy were independent prognostic factors of ES patients. Internal and external validation results: calibration plots showed that the model had a good agreement for patient survival at 1 and 3 years; ROC showed that it possessed a good predictive ability and clinical decision curve proved that it possessed good clinical utility. Conclusions: The tool built in this paper to predict 1- and 3-year survival in ES patients (https://drwenleli0910.shiny apps.io/EwingApp/) has a good identification and predictive power.
基金：
National Natural Science Foundation of China [81260274]; Science and Technology Research and Development Program of Liuzhou City [2014J030405]
第一作者机构：[1]Department of Orthopedic Surgery II, The Second Affiliated Hospital of Xi’anJiao Tong University, Xi’an 710004, China[2]College of Life Science and Technology,Xi’an Jiaotong University, Xi’an 710049, China[3]Molecular Imagingand Translational Medicine Research Center, State Key Laboratory of MolecularVaccinology and Molecular Diagnostics, Xiamen University, Xiamen 361005,China[4]Clinical Medical Research Center, Xianyang Central Hospital, Xianyang712099, China
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通讯作者：
推荐引用方式(GB/T 7714)：
Li Wenle,Dong Shengtao,Lin Yuewei,et al.A tool for predicting overall survival in patients with Ewing sarcoma: a multicenter retrospective study[J].BMC CANCER.2022,22(1):doi:10.1186/s12885-022-09796-7.
APA：
Li, Wenle,Dong, Shengtao,Lin, Yuewei,Wu, Huitao,Chen, Mengfei...&Yin, Chengliang.(2022).A tool for predicting overall survival in patients with Ewing sarcoma: a multicenter retrospective study.BMC CANCER,22,(1)
MLA：
Li, Wenle,et al."A tool for predicting overall survival in patients with Ewing sarcoma: a multicenter retrospective study".BMC CANCER 22..1(2022)
医学