Saurabh Bobdey1, Ganesh Balasubramaniam1, Prabhashankar Mishra2. 1. Department of Medical Records, Biostatistics and Epidemiology, Tata Memorial Hospital, Mumbai, India. 2. Department of Pathology, Tata Memorial Hospital, Mumbai, India.
Abstract
BACKGROUND: Nomograms are visual predictive tools that are widely used for estimating cancer prognosis. The purpose of this study was to develop a prognostic tool that will accurately predict overall survival (OS) in individual patients with oral cancer. METHODS: Medical records of 609 patients with cancer of the oral cavity were retrospectively analyzed. The stepdown method was used to select the statistically most influential predictors for inclusion in the final nomogram for predicting OS. RESULTS: The most influential predictors of mortality probability were age, comorbidities, clinical lymph node status, stage of disease, tumor thickness, differentiation, and perineural invasion. Nomogram was developed for prediction of 5-year OS. CONCLUSION: Nomogram has been widely used in a number of cancers, but its application in oral cancer prognostication has not been explored. In this study, we have developed a nomogram that can accurately estimate 5-year OS in patients with oral cavity cancer.
BACKGROUND: Nomograms are visual predictive tools that are widely used for estimating cancer prognosis. The purpose of this study was to develop a prognostic tool that will accurately predict overall survival (OS) in individual patients with oral cancer. METHODS: Medical records of 609 patients with cancer of the oral cavity were retrospectively analyzed. The stepdown method was used to select the statistically most influential predictors for inclusion in the final nomogram for predicting OS. RESULTS: The most influential predictors of mortality probability were age, comorbidities, clinical lymph node status, stage of disease, tumor thickness, differentiation, and perineural invasion. Nomogram was developed for prediction of 5-year OS. CONCLUSION: Nomogram has been widely used in a number of cancers, but its application in oral cancer prognostication has not been explored. In this study, we have developed a nomogram that can accurately estimate 5-year OS in patients with oral cavity cancer.
Authors: Cheng Lu; James S Lewis; William D Dupont; W Dale Plummer; Andrew Janowczyk; Anant Madabhushi Journal: Mod Pathol Date: 2017-08-04 Impact factor: 7.842
Authors: Lin Chen; Yihui Wen; Jingwei Zhang; Wei Sun; Vivian W Y Lui; Yi Wei; Fenghong Chen; Weiping Wen Journal: Cancer Med Date: 2018-02-23 Impact factor: 4.452