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Construction and validation of the prognostic model for patients with neuroendocrine cervical carcinoma: A competing risk nomogram analysis

Neuroendocrine cervical carcinoma (NECC) is an uncommon malignancy of the female reproductive system. This study aimed to evaluate cancer-specific mortality and to construct prognostic nomograms for predicting the survival of patients with NECC. | Jiang and Cai BMC Cancer 2022 22 4 https doi.org 10.1186 s12885-021-09104-9 RESEARCH Open Access Construction and validation of the prognostic model for patients with neuroendocrine cervical carcinoma a competing risk nomogram analysis Ai Guo Jiang and Xu Cai Abstract Purpose Neuroendocrine cervical carcinoma NECC is an uncommon malignancy of the female reproductive system. This study aimed to evaluate cancer-specific mortality and to construct prognostic nomograms for predicting the survival of patients with NECC. Methods we assembled the patients with NECC diagnosed between 2004 to 2015 from the Surveillance Epidemiol ogy and End Results SEER database. Meanwhile we identified other patients with NECC from the Wenling Maternal and Child Health Care Hospital between 2002 to 2017. Fine and Gray s test and Kaplan Meier methods were used to evaluate cancer-specific mortality and overall survival OS rates respectively. Nomograms were constructed for pre dicting cancer-specific survival CSS and OS for patients with NECC. The developed nomograms were validated both internally and externally. Results a total of 894 patients with NECC were extracted from the SEER database then classified into the training cohort n 628 and the internal validation cohort n 266 . Besides 106 patients from the Wenling Maternal and Child Health Care Hospital served as an external validation cohort. Nomograms for predicting CSS and OS were con structed on clinical predictors. The validation of nomograms was calculated by calibration curves and concordance indexes C-indexes . Furthermore the developed nomograms presented higher areas under the receiver operating characteristic ROC curves when compared to the FIGO staging system. Conclusions we established the first competing risk nomograms to predict the survival of patients with NECC. Such a model with high predictive accuracy could be a practical tool for clinicians. Keywords Neuroendocrine cervical carcinoma Competing risk analysis Nomogram .