External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.

INTRODUCTION: Nomograms are statistical predictive models that can provide the probability of a clinical event. Nomograms have better performance for the estimation of individual risks because of their increased accuracy and objectivity relative to physicians' personal experiences. Recently, a...

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Main Authors: Ridong Wu, Liling Zhu, Wen Li, Qing Tang, Fushun Pan, Weibin Wu, Jie Liu, Chen Yao, Shenming Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3672210?pdf=render
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spelling doaj-cd0e6305cbbc453bb393ed965876fc312020-11-25T01:23:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0186e6516210.1371/journal.pone.0065162External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.Ridong WuLiling ZhuWen LiQing TangFushun PanWeibin WuJie LiuChen YaoShenming WangINTRODUCTION: Nomograms are statistical predictive models that can provide the probability of a clinical event. Nomograms have better performance for the estimation of individual risks because of their increased accuracy and objectivity relative to physicians' personal experiences. Recently, a nomogram for predicting the likelihood that a thyroid nodule is malignant was introduced by Nixon. The aim of this study was to determine whether Nixon's nomogram can be validated in a Chinese population. MATERIALS AND METHODS: All consecutive patients with thyroid nodules who underwent surgery between January and June 2012 in our hospital were enrolled to validate Nixon's nomogram. Univariate and multivariate analyses were used to identify the risk factors for thyroid carcinoma. Discrimination and calibration were employed to evaluate the performance of Nixon's model in our population. RESULTS: A total of 348 consecutive patients with 409 thyroid nodules were enrolled. Thyroid ultrasonographic characteristics, including shape, echo texture, calcification, margins, vascularity and number (solitary vs. multiple nodules), were associated with malignance in the multivariate analysis. The discrimination of all nodules group, the group with a low risk of malignancy (predictive proportion <50%) and the group with a high risk of malignancy (predictive proportion ≥50%) using Nixon's nomogram was satisfactory, and the area under the receiver operating characteristic curve of the three groups were 0.87, 0.75 and 0.72, respectively. However, the calibration was significant (p = 0.55) only in the high-risk group. CONCLUSION: Nixon's nomogram is a valuable predictive model for the Chinese population and has been externally validated. It has good performance for patients with a high risk of malignancy and may be more suitable for use with these patients in China.http://europepmc.org/articles/PMC3672210?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ridong Wu
Liling Zhu
Wen Li
Qing Tang
Fushun Pan
Weibin Wu
Jie Liu
Chen Yao
Shenming Wang
spellingShingle Ridong Wu
Liling Zhu
Wen Li
Qing Tang
Fushun Pan
Weibin Wu
Jie Liu
Chen Yao
Shenming Wang
External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.
PLoS ONE
author_facet Ridong Wu
Liling Zhu
Wen Li
Qing Tang
Fushun Pan
Weibin Wu
Jie Liu
Chen Yao
Shenming Wang
author_sort Ridong Wu
title External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.
title_short External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.
title_full External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.
title_fullStr External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.
title_full_unstemmed External validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a Chinese population.
title_sort external validation of a nomogram that predicts the pathological diagnosis of thyroid nodules in a chinese population.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description INTRODUCTION: Nomograms are statistical predictive models that can provide the probability of a clinical event. Nomograms have better performance for the estimation of individual risks because of their increased accuracy and objectivity relative to physicians' personal experiences. Recently, a nomogram for predicting the likelihood that a thyroid nodule is malignant was introduced by Nixon. The aim of this study was to determine whether Nixon's nomogram can be validated in a Chinese population. MATERIALS AND METHODS: All consecutive patients with thyroid nodules who underwent surgery between January and June 2012 in our hospital were enrolled to validate Nixon's nomogram. Univariate and multivariate analyses were used to identify the risk factors for thyroid carcinoma. Discrimination and calibration were employed to evaluate the performance of Nixon's model in our population. RESULTS: A total of 348 consecutive patients with 409 thyroid nodules were enrolled. Thyroid ultrasonographic characteristics, including shape, echo texture, calcification, margins, vascularity and number (solitary vs. multiple nodules), were associated with malignance in the multivariate analysis. The discrimination of all nodules group, the group with a low risk of malignancy (predictive proportion <50%) and the group with a high risk of malignancy (predictive proportion ≥50%) using Nixon's nomogram was satisfactory, and the area under the receiver operating characteristic curve of the three groups were 0.87, 0.75 and 0.72, respectively. However, the calibration was significant (p = 0.55) only in the high-risk group. CONCLUSION: Nixon's nomogram is a valuable predictive model for the Chinese population and has been externally validated. It has good performance for patients with a high risk of malignancy and may be more suitable for use with these patients in China.
url http://europepmc.org/articles/PMC3672210?pdf=render
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