Establishment and evaluation of the nomogram prognostic model for oral squamous cell carcinoma
10.3969/j.issn.1001-3733.2023.04.013
- VernacularTitle:口腔鳞状细胞癌列线图预后模型建立与评估
- Author:
Wu MA
1
;
Linlin CHEN
Author Information
1. 330006,南昌大学附属口腔医院,口腔疾病江西省重点实验室,江西省口腔疾病临床医学研究中心
- Keywords:
Oral squamous cell carcinoma;
Nomogram;
Prognostic model
- From:
Journal of Practical Stomatology
2024;40(4):529-536
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the prognostic factors of patients with oral squamous cell carcinoma(OSCC)and to establish a nomogram predictive model for the prediction of overall survival(OS)and disease-free survival(DFS)of the patients with OSCC.Methods:A retrospective analysis was performed on clinicopathological data of 361 OSCC patients underwent surgical treatment.Log-rank test and Cox regression model were used to analyze the prognosis of patients with OSCC.The nomogram was established based on the results of multivariate analysis and the consistency index(C index).Receiver operating characteristic curve(ROC)and calibration curve were used to evaluate the prediction ability and accuracy of the nomogram.Results:277 patients(76.73％)were followed up in this study.Univariate and multivariate analysis showed that age,perineural invasion,tumor differentiation and N stage were the inde-pendent risk factors for OS of patients,while age,perineural invasion,tumor differentiation and clinical stage were the independent risk factors for DFS of the patients(all P＜0.05).The C index of the nomogram for OS and DFS of OSCC patients established by this method was 0.741 and 0.763,respectively.ROC and calibration curves showed that the OS and DFS models fitted well with the actual observa-tion results.Conclusion:The OS and DFS nomogram prognostic model of OSCC patients constructed based on age,perineural inva-sion,tumor differentiation,N stage and clinical stage has good predictive ability and accuracy,may help clinicians to accurately assess the prognosis of the patients,and have important significance for the individualized treatment of OSCC patients.
