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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7787971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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