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Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making

Derived from our original nomogram study by using the risk variables from multivariable analyses in the derivation cohort of 1383 patients with extranodal NK/T-cell lymphoma, nasal-type (ENKTCL) who were mostly treated with anthracycline-based chemotherapy, we propose an easily used nomogram-revised...

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Autores principales: Chen, Si-Ye, Yang, Yong, Qi, Shu-Nan, Wang, Ying, Hu, Chen, He, Xia, Zhang, Li-Ling, Wu, Gang, Qu, Bao-Lin, Qian, Li-Ting, Hou, Xiao-Rong, Zhang, Fu-Quan, Qiao, Xue-Ying, Wang, Hua, Li, Gao-Feng, Zhang, Yu-Jing, Zhu, Yuan, Cao, Jian-Zhong, Lan, Sheng-Min, Wu, Jun-Xin, Wu, Tao, Zhu, Su-Yu, Shi, Mei, Xu, Li-Ming, Yuan, Zhi-Yong, Yahalom, Joachim, Tsang, Richard, Song, Yu-Qin, Zhu, Jun, Su, Hang, Li, Ye-Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787971/
https://www.ncbi.nlm.nih.gov/pubmed/32152465
http://dx.doi.org/10.1038/s41375-020-0791-3
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author Chen, Si-Ye
Yang, Yong
Qi, Shu-Nan
Wang, Ying
Hu, Chen
He, Xia
Zhang, Li-Ling
Wu, Gang
Qu, Bao-Lin
Qian, Li-Ting
Hou, Xiao-Rong
Zhang, Fu-Quan
Qiao, Xue-Ying
Wang, Hua
Li, Gao-Feng
Zhang, Yu-Jing
Zhu, Yuan
Cao, Jian-Zhong
Lan, Sheng-Min
Wu, Jun-Xin
Wu, Tao
Zhu, Su-Yu
Shi, Mei
Xu, Li-Ming
Yuan, Zhi-Yong
Yahalom, Joachim
Tsang, Richard
Song, Yu-Qin
Zhu, Jun
Su, Hang
Li, Ye-Xiong
author_facet Chen, Si-Ye
Yang, Yong
Qi, Shu-Nan
Wang, Ying
Hu, Chen
He, Xia
Zhang, Li-Ling
Wu, Gang
Qu, Bao-Lin
Qian, Li-Ting
Hou, Xiao-Rong
Zhang, Fu-Quan
Qiao, Xue-Ying
Wang, Hua
Li, Gao-Feng
Zhang, Yu-Jing
Zhu, Yuan
Cao, Jian-Zhong
Lan, Sheng-Min
Wu, Jun-Xin
Wu, Tao
Zhu, Su-Yu
Shi, Mei
Xu, Li-Ming
Yuan, Zhi-Yong
Yahalom, Joachim
Tsang, Richard
Song, Yu-Qin
Zhu, Jun
Su, Hang
Li, Ye-Xiong
author_sort Chen, Si-Ye
collection PubMed
description Derived from our original nomogram study by using the risk variables from multivariable analyses in the derivation cohort of 1383 patients with extranodal NK/T-cell lymphoma, nasal-type (ENKTCL) who were mostly treated with anthracycline-based chemotherapy, we propose an easily used nomogram-revised risk index (NRI), validated it and compared with Ann Arbor staging, the International Prognostic Index (IPI), Korean Prognostic Index (KPI), and prognostic index of natural killer lymphoma (PINK) for overall survival (OS) prediction by examining calibration, discrimination, and decision curve analysis in a validation cohort of 1582 patients primarily treated with non-anthracycline-based chemotherapy. The calibration of the NRI showed satisfactory for predicting 3- and 5-year OS in the validation cohort. The Harrell’s C-index and integrated Brier score (IBS) of the NRI for OS prediction demonstrated a better performance than that of the Ann Arbor staging system, IPI, KPI, and PINK. Decision curve analysis of the NRI also showed a superior outcome. The NRI is a promising tool for stratifying patients with ENKTCL into risk groups for designing clinical trials and for selecting appropriate individualized treatment.
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spelling pubmed-77879712021-01-14 Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making Chen, Si-Ye Yang, Yong Qi, Shu-Nan Wang, Ying Hu, Chen He, Xia Zhang, Li-Ling Wu, Gang Qu, Bao-Lin Qian, Li-Ting Hou, Xiao-Rong Zhang, Fu-Quan Qiao, Xue-Ying Wang, Hua Li, Gao-Feng Zhang, Yu-Jing Zhu, Yuan Cao, Jian-Zhong Lan, Sheng-Min Wu, Jun-Xin Wu, Tao Zhu, Su-Yu Shi, Mei Xu, Li-Ming Yuan, Zhi-Yong Yahalom, Joachim Tsang, Richard Song, Yu-Qin Zhu, Jun Su, Hang Li, Ye-Xiong Leukemia Article Derived from our original nomogram study by using the risk variables from multivariable analyses in the derivation cohort of 1383 patients with extranodal NK/T-cell lymphoma, nasal-type (ENKTCL) who were mostly treated with anthracycline-based chemotherapy, we propose an easily used nomogram-revised risk index (NRI), validated it and compared with Ann Arbor staging, the International Prognostic Index (IPI), Korean Prognostic Index (KPI), and prognostic index of natural killer lymphoma (PINK) for overall survival (OS) prediction by examining calibration, discrimination, and decision curve analysis in a validation cohort of 1582 patients primarily treated with non-anthracycline-based chemotherapy. The calibration of the NRI showed satisfactory for predicting 3- and 5-year OS in the validation cohort. The Harrell’s C-index and integrated Brier score (IBS) of the NRI for OS prediction demonstrated a better performance than that of the Ann Arbor staging system, IPI, KPI, and PINK. Decision curve analysis of the NRI also showed a superior outcome. The NRI is a promising tool for stratifying patients with ENKTCL into risk groups for designing clinical trials and for selecting appropriate individualized treatment. Nature Publishing Group UK 2020-03-09 2021 /pmc/articles/PMC7787971/ /pubmed/32152465 http://dx.doi.org/10.1038/s41375-020-0791-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chen, Si-Ye
Yang, Yong
Qi, Shu-Nan
Wang, Ying
Hu, Chen
He, Xia
Zhang, Li-Ling
Wu, Gang
Qu, Bao-Lin
Qian, Li-Ting
Hou, Xiao-Rong
Zhang, Fu-Quan
Qiao, Xue-Ying
Wang, Hua
Li, Gao-Feng
Zhang, Yu-Jing
Zhu, Yuan
Cao, Jian-Zhong
Lan, Sheng-Min
Wu, Jun-Xin
Wu, Tao
Zhu, Su-Yu
Shi, Mei
Xu, Li-Ming
Yuan, Zhi-Yong
Yahalom, Joachim
Tsang, Richard
Song, Yu-Qin
Zhu, Jun
Su, Hang
Li, Ye-Xiong
Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making
title Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making
title_full Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making
title_fullStr Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making
title_full_unstemmed Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making
title_short Validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type NK/T-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making
title_sort validation of nomogram-revised risk index and comparison with other models for extranodal nasal-type nk/t-cell lymphoma in the modern chemotherapy era: indication for prognostication and clinical decision-making
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787971/
https://www.ncbi.nlm.nih.gov/pubmed/32152465
http://dx.doi.org/10.1038/s41375-020-0791-3
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