Abstract

Primary testicular diffuse large B-cell lymphoma (PT-DLBCL) is a relatively rare urological tumor with a high degree of malignancy and a poor prognosis. This study aimed to investigate the prognostic risk factors for survival of patients with PT-DLBCL, and then to construct a predictive model and verify its reliability. First, we selected subjects from the SEER database (2000-2018) and analyzed the survival of PT-DLBCL patients by Kaplan-Meier test. Then, we analyzed prognostic factors by Cox regression. Finally, the data from the training cohort were used to construct a prediction model and represented with a nomogram. We evaluated the nomogram using the consistency index (C-index), decision curve analysis (DCA), and the area under the subject operating characteristic curve (ROC). In addition, calibration curves were plotted to assess the agreement between the column plot model and the actual model. We identified five independent risk factors for patient prognosis affecting OS and CSS in patients with PT-DLBCL by univariate and multivariate analysis, including age, transversality, Ann Arbor staging, chemotherapy, and radiotherapy. According to the above factors, we constructed prognostic nomograms, and found that age contributed the most to the survival of patients with PT-DLBCL. The C-indexes for the nomogram of OS and CSS in the training cohort were 0.758 (0.716-0.799) and 0.763 (0.714-0.812), and in the validation cohort were OS and CSS 0.756 (0.697-0.815) and 0.748 (0.679-0.817). We produced the first nomogram of PT-DLBCL, and it can be used to evaluate the CSS and OS of patients to determine the prognosis of patients.

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