Nomogram Predicting Overall Survival in Operable Cervical Cancer Patients

Nomograms are widely used as predictive tools to predict oncological outcomes intuitively and precisely. The aim of our study was to develop a nomogram for predicting overall survival (OS) of patients with early stage cervical cancer.

In this retrospective study, the clinical, pathological, and hematological data and prognosis of 795 cervical cancer patients were investigated. We identified and incorporated independent significant prognostic factors for OS to develop a nomogram. The predictive accuracy and discriminative ability were measured by concordance index.

By univariable analysis and subsequent multivariable analysis, we identified body mass index, albumin, platelet, leukocyte, tumor differentiation, and the status of the pelvic lymph node (PLN) (all P < 0.05) as independent prognostic factors. The concordance index of the nomogram integrating these 6 variables was 0.74. The calibration curves for probability of 3- and 5-year OS also demonstrated ideal agreement between nomogram prediction and actual observation.

We developed a novel nomogram that can provide prediction of OS for patients with early stage cervical cancer individually. Furthermore, studies are required to validate whether it can be applied to other cohorts.