1. Effect of age as a continuous variable on survival outcomes and treatment selection in patients with extranodal nasal-type NK/T-cell lymphoma from the China Lymphoma Collaborative Group (CLCG).
- Author
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Liu WX, Shi M, Su H, Wang Y, He X, Xu LM, Yuan ZY, Zhang LL, Wu G, Qu BL, Qian LT, Hou XR, Zhang FQ, Zhang YJ, Zhu Y, Cao JZ, Lan SM, Wu JX, Wu T, Zhu SY, Qi SN, Yang Y, Chen B, and Li YX
- Subjects
- Adult, Aged, China epidemiology, Clinical Decision-Making, Female, Humans, Male, Neoplasm Staging, Patient Selection, Prognosis, Retrospective Studies, Risk Factors, Survival Analysis, Age Factors, Drug Therapy methods, Lymphoma, Extranodal NK-T-Cell mortality, Lymphoma, Extranodal NK-T-Cell pathology, Lymphoma, Extranodal NK-T-Cell therapy, Radiotherapy methods
- Abstract
Purpose: The aim of this study was to determine the impact of analyzing age as a continuous variable on survival outcomes and treatment selection for extranodal nasal-type NK/T-cell lymphoma., Results: The risk of mortality increased with increasing age, without an apparent cutoff point. Patients' age, as a continuous variable, was independently associated with overall survival after adjustment for covariates. Older early-stage patients were more likely to receive radiotherapy only whereas young-adult advanced-stage patients tended to receive non-anthracycline-based chemotherapy. A decreased risk of mortality with radiotherapy versus chemotherapy only in early-stage patients (HR, 0.347, P < 0.001) or non-anthracycline-based versus anthracycline-based chemotherapy in early-stage (HR, 0.690, P = 0.001) and advanced-stage patients (HR, 0.678, P = 0.045) was maintained in patients of all ages., Conclusions: These findings support making treatment decisions based on disease-related risk factors rather than dichotomized chronological age., Patients and Methods: Data on 2640 patients with extranodal nasal-type NK/T-cell lymphoma from the China Lymphoma Collaborative Group database were analyzed retrospectively. Age as a continuous variable was entered into the Cox regression model using penalized spline analysis to determine the association of age with overall survival (OS) and treatment benefits.
- Published
- 2019
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