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Frontiers in Medical Science Research, 2021, 3(2); doi: 10.25236/FMSR.2021.030209.

Establishment and validation of a nomogram for predicting overall survival in patients with vulvar carcinoma based on the SEER database

Author(s)

Min Liu1, Li Li2, Juan Du3, Jun Lyu2, Zuhui Chen4

Corresponding Author:
Jun Lyu, Zuhui Chen
Affiliation(s)

1Department of Hospital Infection Control, the First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China

2Department of Clinical Research, the First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China

3Department of Hygiene Inspection & Quarantine Science, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China 

4Office of Science, Education and Student management, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China

Abstract

Background: Vulvar carcinoma (VC) is a rare female gynecological malignancy, and optimizing prognostic factors for VC requires large-scale research containing various clinical indicators of patients. Our study attempted to develop and validate a detailed survival nomogram for predicting the overall survival (OS) probability in patients diagnosed with VC. Methods: Patients diagnosed with VC between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression analyses were performed followed by the construction of the nomogram for OS. The performance of this model was evaluated using the concordance index (C-index), area under the time-dependent receiver operating characteristics curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plots and decision curve analysis (DCA). In addition, the C-index, AUC and DCA of the model and the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system were compared. Results: A total of 6275 patients were randomly assigned to the training cohort (n=4392) and the validation cohort (n=1883). Multivariate analysis identified independent prognostic factors (p<0.05) for OS, including histological type, age, surgery, T stage, N stage, M stage, grade, summary stage, chemotherapy, race, marital status and size. Finally, a nomogram was constructed to predict the 3-, 5-, and 8-year OS probabilities for patients with VC, and the C-index, NRI, IDI and calibration plotting all showed that the model has good discrimination. Additionally, the nomogram also showed better clinical validity of the DCA and AUC compared to that of the FIGO system. Conclusions: We developed and validated a nomogram for individual OS prediction in patients with VC. While further validation is required, this nomogram may be a useful comprehensive prognostic tool to give patients a better idea of prognosis during counseling.

Keywords

Vulvar carcinoma, Nomogram, FIGO, Overall survival, SEER, Prognostic

Cite This Paper

Min Liu, Li Li, Juan Du, Jun Lyu, Zuhui Chen. Establishment and validation of a nomogram for predicting overall survival in patients with vulvar carcinoma based on the SEER database. Frontiers in Medical Science Research (2021) Vol. 3 Issue 2: 37-47. https://doi.org/10.25236/FMSR.2021.030209.

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