Nomogram-Based New Recurrence Predicting System in Early-Stage Papillary Thyroid Cancer

Autor: Yongfeng Ding, Zhuochao Mao, Jiaying Ruan, Xingyun Su, Linrong Li, Thomas J. Fahey, Weibin Wang, Lisong Teng
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Endocrinology, Vol 2019 (2019)
Druh dokumentu: article
ISSN: 1687-8337
1687-8345
DOI: 10.1155/2019/1029092
Popis: Background and Objectives. The clinicopathological risk factors to predict recurrence of papillary thyroid cancer (PTC) patients remain controversial. Methods. PTC patients treated with thyroidectomy between January 1997 and December 2011 at the First Affiliated Hospital of Zhejiang University (Zhejiang cohort) were included. Multivariate Cox regression analysis was conducted to identify independent recurrence predictors. Then, the nomogram model for predicting probability of recurrence was built. Results. According to Zhejiang cohort (N = 1,697), we found that the 10-year event-free survival (EFS) rates of PTC patients with early-stage (TNM stages I, II, and III) were not well discriminated (91.6%, 89.0%, and 90.7%; P=0.768). The multivariate Cox model identified age, bilaterality, tumor size, and nodal status as independent risk factors for tumor recurrence in PTC patients with TNM stages I–III. We then developed a nomogram with the C-index 0.70 (95% CI, 0.64 to 0.76), which was significantly higher (P
Databáze: Directory of Open Access Journals
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