External validation of a nomogram predicting conditional survival after tri-modality treatment of esophageal cancer

• Published in: Surgery 2023-12, Vol.174 (6), p.1363-1370
• Main Authors: Schuring, Nannet, Donlon, Noel E., Hagens, Eliza R.C., Gootjes, Didier, Donohoe, Claire L., van Berge Henegouwen, Mark I., Reynolds, John V., Gisbertz, Suzanne S.
• Format: Article
• Language: English
• Subjects: Carcinoma, Squamous Cell - therapy; Chemoradiotherapy; Esophageal Neoplasms - therapy; Humans; Neoadjuvant Therapy; Nomograms
• ISSN: 0039-6060; 1532-7361
• DOI: 10.1016/j.surg.2023.08.013

A conditional survival nomogram was developed at a single high-volume center to predict 5-year overall survival for esophageal cancer patients after neoadjuvant chemoradiation and esophagectomy. The aim of this study was to externally validate the nomogram in a cohort of patients with esophageal adeno- or squamous cell carcinoma from another high-volume center. Consecutive patients with an esophageal adeno- or squamous cell carcinoma who had undergone esophagectomy after being treated with preoperative chemoradiation between 2004 and 2016 were selected from a prospectively maintained institutional database. The level of discrimination for prediction of 5-year overall survival was quantified by Harrell’s C statistic. Calibration of the conditional survival nomogram was visualized by plotting predicted 5-year survival and observed 5-year survival for comparison. Of the 296 patients examined, the probability of 5-year overall survival directly after surgery was 45% and increased to 51%, 68%, 78%, and 89% for each additional year survived. The predicted 5-year overall survival differed from the observed survival, with a calibration slope of 0.54, 0.55, 0.59, 0.73, and 1.09 directly after surgery and 1, 2, 3, and 4 years of survival after surgery, respectively. The nomogram's discrimination level for 5-year survival was moderate, with a C statistic of 0.65 compared to the 0.70 reported in the original study. The nomogram model has moderate predictive discrimination and accuracy, supporting its applicability to external cohorts to predict conditional survival. Further validation studies should empirically assess the model for predictive performance.