| Literature DB >> 32152465 |
Si-Ye Chen1, Yong Yang1, Shu-Nan Qi1, Ying Wang2, Chen Hu3, Xia He4, Li-Ling Zhang5, Gang Wu5, Bao-Lin Qu6, Li-Ting Qian7, Xiao-Rong Hou8, Fu-Quan Zhang8, Xue-Ying Qiao9, Hua Wang10, Gao-Feng Li11, Yu-Jing Zhang12, Yuan Zhu13, Jian-Zhong Cao14, Sheng-Min Lan14, Jun-Xin Wu15, Tao Wu16, Su-Yu Zhu17, Mei Shi18, Li-Ming Xu19, Zhi-Yong Yuan19, Joachim Yahalom20, Richard Tsang21, Yu-Qin Song22, Jun Zhu22, Hang Su23, Ye-Xiong Li24.
Abstract
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.Entities:
Mesh:
Year: 2020 PMID: 32152465 PMCID: PMC7787971 DOI: 10.1038/s41375-020-0791-3
Source DB: PubMed Journal: Leukemia ISSN: 0887-6924 Impact factor: 11.528