Influencing factors for prognosis of primary tracheal malignancy and establishment of nomogram model for predicting its overall survival based upon SEER database
- VernacularTitle:基于 SEER 数据库分析原发性气管恶性肿瘤的预后影响因素及 Nomogram预测模型的构建
- Author:
Weijian YAN
1
;
Ye ZHAO
2
;
Haiming FENG
1
;
Cheng WANG
1
;
Bin LI
1
Author Information
1. Department of Thoracic Surgery, Lanzhou University Second Hospital, Lanzhou, 730030, P.R.China
2. Department of Respiratory Medicine, Lanzhou University First Hospital, Lanzhou, 730000, P.R.China
- Publication Type:Journal Article
- Keywords:
Primary tracheal malignancy;
Surveillance, Epidemiology, and End Results (SEER);
prediction model;
nomogram
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2021;28(05):545-554
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the factors affecting the prognosis of patients with primary tracheal malignancy, and establish a nomogram model for prediction its prognosis. Methods A total of 557 patients diagnosed with primary tracheal malignancy from 1975 to 2016 in the Surveillance, Epidemiology, and End Results Data were collected. The factors affecting the overall survival rate of primary tracheal malignancy were screened and modeled by univariate and multivariate Cox regression analysis. The nomogram prediction model was performed by R 3.6.2 software. Using the C-index, calibration curves and receiver operating characteristic (ROC) curve to evaluate the consistency and predictive ability of the nomogram prediction model. Results The median survival time of 557 patients with primary tracheal malignancy was 21 months, and overall survival rates of the 1-year, 3-year and 5-year were 59.1%±2.1%, 42.5%±2.1%, and 35.4%±2.2%. Univariate and multivariate Cox regression analysis showed that age, histology, surgery, radiotherapy, tumor size, tumor extension and the range of lymph node involvement were independent risk factors affecting the prognosis of patients with primary tracheal malignancy (P<0.05). Based on the above 7 risk factors to establish the nomogram prediction model, the C-index was 0.775 (95%CI 0.751-0.799). The calibration curve showed that the prediction model established in this study had a good agreement with the actual survival rate of the 1 year, 3 year and 5 years. The area under curve of 1-year, 3-year and 5-year predicting overall survival rates was 0.837, 0.827 and 0.836, which showed that the model had a high predictive power. Conclusion The nomogram prediction model established in this study has a good predictive ability, high discrimination and accuracy, and high clinical value. It is useful for the screening of high-risk groups and the formulation of personalized diagnosis and treatment plans, and can be used as an evaluation tool for prognostic monitoring of patients with primary tracheal malignancy.
