Prognostic factors and nomogram for survival prediction in patients with peripheral T-cell lymphoma,not otherwise specified:A SEER population-based study
10.3781/j.issn.1000-7431.2025.2405-0290
- VernacularTitle:非特指型外周T细胞淋巴瘤预后因素及列线图建立:一项基于监测、流行病学和最终结果数据库人群的研究
- Author:
Huiwen ZHENG
1
;
Yue XIAO
1
Author Information
1. 重庆医科大学附属永川医院血液内科,重庆 402160
- Publication Type:Journal Article
- Keywords:
Peripheral T-cell lymphoma,not otherwise specified;
Prognosis;
Overall survival rate;
Nomogram;
SEER database
- From:
Tumor
2025;45(3):243-253
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the clinical prognostic factors that affect the prognosis of patients with peripheral T-cell lymphoma,not otherwise specified(PTCL-NOS),and to construct a relevant nomogram model to predict the overall survival rate of patients.Methods:Cases of PTCL-NOS from 2010 to 2015 were selected from the SEER database.Univariate and multivariate COX regression analyses were used to identify factors affecting prognosis,and a nomogram model was constructed.The concordance index,receiver operating characteristic curve,calibration curve,and clinical decision curve were used to evaluate the model's discriminatory ability,predictive accuracy,and clinical utility,respectively.Results:A total of 1 078 PTCL-NOS with PTCL-NOS were included.Univariate and multivariate COX regression analysis results indicated that gender,race,age,Ann Arbor stage,B-symptoms,treatment modality,and median annual household income were independent risk factors for overall survival(OS)in PTCL-NOS patients.The C-index for overall survival rate in the training set was 0.710(95%confidence interval:0.685-0.735),and the C-index for overall survival rate in the validation set was 0.684(95%confidence interval:0.643-0.725).The C-index,receiver operating characteristic curve,and calibration curve all demonstrated that the model had good predictive accuracy and discriminatory power.Decision curve analysis indicated that the model had certain clinical practicality.Conclusion:The prognostic prediction model based on seven independent risk factors for clinical prognosis demonstrates good predictive accuracy and discriminative power,and can provide a reference for clinicians to formulate treatment plans for patients with PTCL-NOS to a certain extent.
