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Nomograms for Predicting Cancer-Specific Survival of Patients with Gingiva Squamous Cell Carcinoma: A Population-Based Study.
Yang, Si-Si; Zhong, Xiao-Huan; Wang, Hui-Xin; Min, An-Jie; Wang, Wei-Ming.
Afiliación
  • Yang SS; Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
  • Zhong XH; Department of Orthodontics, Center of Stomatology, Xiangya Hospital of Central South University, Changsha, 410008, China.
  • Wang HX; Department of Orthodontics, Center of Stomatology, Xiangya Hospital of Central South University, Changsha, 410008, China.
  • Min AJ; Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
  • Wang WM; Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, 410008, China. wwmasly10@csu.edu.cn.
Curr Med Sci ; 41(5): 953-960, 2021 Oct.
Article en En | MEDLINE | ID: mdl-34693495
OBJECTIVE: The use of the traditional American Joint Committee on Cancer (AJCC) staging system alone has limitations in predicting the survival of gingiva squamous cell carcinoma (GSCC) patients. We aimed to establish a comprehensive prognostic nomogram with a prognostic value similar to the AJCC system. METHODS: Patients were identified from SEER database. Variables were selected by a backward stepwise selection method in a Cox regression model. A nomogram was used to predict cancer-specific survival rates for 3, 5 and 10 years in patients with GSCC. Several basic features of model validation were used to evaluate the performance of the survival model: consistency index (C-index), receiver operating characteristic (ROC) curve, calibration chart, net weight classification improvement (NRI), comprehensive discriminant improvement (IDI) and decision curve analysis (DCA). RESULTS: Multivariate analyses revealed that age, race, marital status, insurance, AJCC stage, pathology grade and surgery were risk factors for survival. In particular, the C-index, the area under the ROC curve (AUC) and the calibration plots showed good performance of the nomogram. Compared to the AJCC system, NRI and IDI showed that the nomogram has improved performance. Finally, the nomogram's 3-year and 5-year and 10-year DCA curves yield net benefits higher than traditional AJCC, whether training set or a validation set. CONCLUSION: We developed and validated the first GSCC prognosis nomogram, which has a better prognostic value than the separate AJCC staging system. Overall, the nomogram of this study is a valuable tool for clinical practice to consult patients and understand their risk for the next 3, 5 and 10 years.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gingivales / Carcinoma de Células Escamosas / Nomogramas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Idioma: En Revista: Curr Med Sci Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gingivales / Carcinoma de Células Escamosas / Nomogramas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Idioma: En Revista: Curr Med Sci Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: China