Postoperative nomogram for predicting disease-specific death and recurrence in papillary thyroid carcinoma

Abstract

Background: A nomogram could provide individualized prognostic for papillary thyroid carcinoma (PTC). The purpose of our study was to develop and validate a new nomogram. Methods: Consecutive patients with PTC from 2 different institutions were analyzed and divided into the development (n = 849) and validation (n = 275) sets. The former was used for formulating a nomogram in predicting disease-specific death and recurrence, whereas the latter was for validation (by area under the curve [AUC]). Results: The nomogram had excellent discrimination in predicting 10-year disease-specific death and recurrence (0.984; 0.969–0.998; and 0.743; 0.658–0.828; respectively). A score <30 meant 100% of the patients survived at 10 years and those who died within 10 years had a score ≥30. A score <17 meant almost all the patients (91.04%) were disease-free within 10 years. Conclusion: Using a competing-risk model, a nomogram was created with excellent discriminatory ability and accuracy in predicting 10-year disease-specific death and recurrence for PTC. Our results implied its potential for wider use in other populations.