Establishment of a predictive nomogram for differentiated thyroid cancer: an inpatient-based retrospective study.

Endokrynologia Polska Pub Date : 2023-01-01 Epub Date: 2023-11-23 DOI:10.5603/ep.97087

Jing Du, Wei Li, Xin Zhao, Chao Shen, Xiaomei Zhang

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引用次数: 0

Abstract

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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建立分化型甲状腺癌预测图:一项基于住院患者的回顾性研究。

分化型甲状腺癌(DTC)是内分泌系统最常见的恶性肿瘤。本研究的目的是建立一个简单有效的预测DTC的nomogram。材料与方法:回顾性分析464例甲状腺结节手术住院患者的资料。采用单因素logistic回归和多因素logistic回归分析DTC的危险因素。构造了预测DTC的nomogram。结果:本研究通过多因素logistic回归发现，女性、年龄< 55岁、实性组成、低回声、边缘不规则、微钙化、高过宽、颈淋巴肿大是DTC的独立危险因素。模态图模型的曲线面积(AUC)为0.920，具有良好的预测性能[95%置信区间(CI): 0.888-0.952]。预测DTC的最佳阈值为52.4%，敏感性和特异性分别为91.9%和81.0%。结论:我们为临床医生预测DTC提供了一个简单、无创、准确的模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Endokrynologia Polska

CiteScore

0.60

自引率

0.00%

发文量