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Updated: Jul 3, 2026
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Establishment of a predictive nomogram for differentiated thyroid cancer: an inpatient-based retrospective study
1Department of Endocrinology, Peking University International Hospital, Beijing, China. 1274513792@qq.com.
Introduction:
Differentiated thyroid cancer (DTC) is the most common malignant tumour of the endocrine system. The aim of this study was to establish a nomogram for simply and effectively predicting DTC.
Material And Methods:
464 inpatients who underwent thyroid nodule surgery were retrospectively analysed. Univariate logistic regression and multivariate logistic regression were used to analyse the risk factors of DTC. A nomogram was constructed for predicting DTC.
Results:
In this study, multivariate logistic regression found that female sex, age < 55 years, solid composition, hypoechogenicity, irregular margin, microcalcification, taller-than-wide, and cervical lymphadenopathy were independent risk factors for DTC. The area the curve (AUC) of the nomogram model indicated an excellent predictive performance of 0.920 [95% confidence interval (CI): 0.888-0.952]. The best threshold for predicting DTC was 52.4%, with sensitivity and specificity of 91.9% and 81.0%, respectively.
Conclusions:
we provided a simple, noninvasive, and accurate model for clinicians to predict DTC.
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