Development and external validation of a risk-prediction model to predict 5-year overall survival in advanced larynx cancer

Japke F. Petersen, Martijn M. Stuiver, Adriana J. Timmermans, Amy Chen, Hongzhen Zhang, James P. O'Neill, Sandra Deady, Vincent Vander Poorten, Jeroen Meulemans, Johan Wennerberg, Carl Skroder, Andrew T. Day, Wayne Koch, Michiel W.M. van den Brekel

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Objectives/Hypothesis: TNM-classification inadequately estimates patient-specific overall survival (OS). We aimed to improve this by developing a risk-prediction model for patients with advanced larynx cancer. Study Design: Cohort study. Methods: We developed a risk prediction model to estimate the 5-year OS rate based on a cohort of 3,442 patients with T3T4N0N+M0 larynx cancer. The model was internally validated using bootstrapping samples and externally validated on patient data from five external centers (n = 770). The main outcome was performance of the model as tested by discrimination, calibration, and the ability to distinguish risk groups based on tertiles from the derivation dataset. The model performance was compared to a model based on T and N classification only. Results: We included age, gender, T and N classification, and subsite as prognostic variables in the standard model. After external validation, the standard model had a significantly better fit than a model based on T and N classification alone (C statistic, 0.59 vs. 0.55, P <.001). The model was able to distinguish well among three risk groups based on tertiles of the risk score. Adding treatment modality to the model did not decrease the predictive power. As a post hoc analysis, we tested the added value of comorbidity as scored by American Society of Anesthesiologists score in a subsample, which increased the C statistic to 0.68. Conclusions: A risk prediction model for patients with advanced larynx cancer, consisting of readily available clinical variables, gives more accurate estimations of the estimated 5-year survival rate when compared to a model based on T and N classification alone. Level of Evidence: 2c. Laryngoscope, 128:1140–1145, 2018.

Original languageEnglish (US)
Pages (from-to)1140-1145
Number of pages6
JournalLaryngoscope
Volume128
Issue number5
DOIs
StatePublished - May 2018

Keywords

  • Nomogram
  • cancer
  • chemoradiotherapy
  • larynx
  • radiotherapy
  • risk prediction model
  • total laryngectomy

ASJC Scopus subject areas

  • Otorhinolaryngology

Fingerprint

Dive into the research topics of 'Development and external validation of a risk-prediction model to predict 5-year overall survival in advanced larynx cancer'. Together they form a unique fingerprint.

Cite this