Development and validation of prognostic nomogram in ependymoma: A retrospective analysis of the SEER database

Autor: Zetian Jia, Yaqi Yan, Jiuxin Wang, He Yang, Haihua Zhan, Qian Chen, Yawei He, Changyu Huang, Yuhua Hu
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Cancer Medicine, Vol 10, Iss 17, Pp 6140-6148 (2021)
Druh dokumentu: article
ISSN: 2045-7634
DOI: 10.1002/cam4.4151
Popis: Abstract Background The prognostic factors for survival in patients with ependymoma (EPN) remain controversial. The aim of this study was to establish a prognostic model for 5‐ and 10‐year survival probability nomograms for patients with EPN. Methods Clinical data from the Surveillance, Epidemiology, and End Results (SEER) database were used for patients diagnosed with ependymoma between 2000 and 2018 and were randomized 7:3 into a development set and a validation set. Factors significantly associated with prognosis were screened out using the least absolute shrinkage and selection operator (LASSO) regression. The calibration chart and consistency index (C‐index) are used to evaluate the discrimination and consistency of the prediction model. Decision curve analysis (DCA) was used to further evaluate the established model. Finally, prognostic factors selected by LASSO regression were evaluated using Kaplan–Meier (KM) survival curves. Results A total of 3820 patients were included in the prognostic model. Seven survival predictors were obtained by LASSO regression screening, including age, gender, morphology, location, size, laterality, and resection. The prognostic model of the nomogram showed moderate discriminative ability in the development group and the validation group, with a C‐index of 0.642 and 0.615, respectively. In the development set and validation set survival curves, the prognosis index of high risk was less effective than low risk (p
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