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Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy

The study aimed to establish effective nomograms for prediction of tumor regional recurrence and distant recurrence of papillary thyroid carcinoma (PTC) patients after partial or total thyroidectomy. These nomograms were based on a retrospective study on 1034 patients who underwent partial or total...

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Autores principales: Ge, Ming-Hua, Cao, Jun, Wang, Jin-Yu, Huang, Yu-Qing, Lan, Xia-Bin, Yu, Bin, Wen, Qing-Liang, Cai, Xiu-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627831/
https://www.ncbi.nlm.nih.gov/pubmed/28746205
http://dx.doi.org/10.1097/MD.0000000000007575
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author Ge, Ming-Hua
Cao, Jun
Wang, Jin-Yu
Huang, Yu-Qing
Lan, Xia-Bin
Yu, Bin
Wen, Qing-Liang
Cai, Xiu-Jun
author_facet Ge, Ming-Hua
Cao, Jun
Wang, Jin-Yu
Huang, Yu-Qing
Lan, Xia-Bin
Yu, Bin
Wen, Qing-Liang
Cai, Xiu-Jun
author_sort Ge, Ming-Hua
collection PubMed
description The study aimed to establish effective nomograms for prediction of tumor regional recurrence and distant recurrence of papillary thyroid carcinoma (PTC) patients after partial or total thyroidectomy. These nomograms were based on a retrospective study on 1034 patients who underwent partial or total thyroidectomy for PTC. The predictive accuracy and discriminative ability of the nomograms were evaluated by the concordance index (C-index) and calibration curve. In addition, a validation cohort was included at the same institution. Multivariate analysis demonstrated that family history, maximal tumor diameter, capsular invasion, and lymph node staging were independent risk factors for regional recurrence-free survival; and family history, histological variants, capsular invasion, perineuronal invasion, and vascular invasion were independent risk factors for distant recurrence-free survival. They were selected into the 2 nomograms, respectively, and the C-index for regional recurrence-free survival and distant recurrence-free survival prediction were 0.72 and 0.83, respectively. In the validation cohort, the 2 nomograms displayed a C-index of 0.72 and 0.89, respectively. The nomograms developed in this study demonstrated their discrimination capability for predicting 3 and 5-year regional recurrence and distant recurrence after partial or total thyroidectomy, and can be used to identify high-risk patients.
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spelling pubmed-56278312017-10-12 Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy Ge, Ming-Hua Cao, Jun Wang, Jin-Yu Huang, Yu-Qing Lan, Xia-Bin Yu, Bin Wen, Qing-Liang Cai, Xiu-Jun Medicine (Baltimore) 5700 The study aimed to establish effective nomograms for prediction of tumor regional recurrence and distant recurrence of papillary thyroid carcinoma (PTC) patients after partial or total thyroidectomy. These nomograms were based on a retrospective study on 1034 patients who underwent partial or total thyroidectomy for PTC. The predictive accuracy and discriminative ability of the nomograms were evaluated by the concordance index (C-index) and calibration curve. In addition, a validation cohort was included at the same institution. Multivariate analysis demonstrated that family history, maximal tumor diameter, capsular invasion, and lymph node staging were independent risk factors for regional recurrence-free survival; and family history, histological variants, capsular invasion, perineuronal invasion, and vascular invasion were independent risk factors for distant recurrence-free survival. They were selected into the 2 nomograms, respectively, and the C-index for regional recurrence-free survival and distant recurrence-free survival prediction were 0.72 and 0.83, respectively. In the validation cohort, the 2 nomograms displayed a C-index of 0.72 and 0.89, respectively. The nomograms developed in this study demonstrated their discrimination capability for predicting 3 and 5-year regional recurrence and distant recurrence after partial or total thyroidectomy, and can be used to identify high-risk patients. Wolters Kluwer Health 2017-07-28 /pmc/articles/PMC5627831/ /pubmed/28746205 http://dx.doi.org/10.1097/MD.0000000000007575 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle 5700
Ge, Ming-Hua
Cao, Jun
Wang, Jin-Yu
Huang, Yu-Qing
Lan, Xia-Bin
Yu, Bin
Wen, Qing-Liang
Cai, Xiu-Jun
Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy
title Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy
title_full Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy
title_fullStr Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy
title_full_unstemmed Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy
title_short Nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy
title_sort nomograms predicting disease-specific regional recurrence and distant recurrence of papillary thyroid carcinoma following partial or total thyroidectomy
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5627831/
https://www.ncbi.nlm.nih.gov/pubmed/28746205
http://dx.doi.org/10.1097/MD.0000000000007575
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