Nomogram Predicting Overall Survival in Operable Cervical Cancer Patients.

Abstract

OBJECTIVE:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSIONS:

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.

• Authors: Ru-Ru Zheng, Xiao-Wan Huang, Wen-Yue Liu, Rong-Rong Lin, Fei-Yun Zheng, Feng Lin
• Journal: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society (Int J Gynecol Cancer) Vol. 27 Issue 5 Pg. 987-993 (06 2017) ISSN: 1525-1438 [Electronic] England
• PMID: 28498238 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• China (epidemiology)
• Female
• Follow-Up Studies
• Humans
• Middle Aged
• Neoplasm Staging
• Nomograms
• Prognosis
• Retrospective Studies
• Risk
• Survival Rate
• Uterine Cervical Neoplasms (blood, mortality, pathology)