A nomogram for predicting survival in patients with primary testicular lymphoma: A population-based study.

Background: Primary testicular lymphoma (PTL) is a rare malignancy whose epidemiology and prognosis have not been studied.

Materials and methods: PTL patient data were collected from the SEER online database, and the data were divided into a training cohort and a validation cohort according to random assignment. The training cohort was subjected to a one-way COX regression analysis, and statistically significant differences were included in the multi-factor COX regression analysis and constructed nomograms. Forest plots were constructed based on risk factors. The validity of the nomograms was verified by observing the C-index size of the nomograms, the percentage of area under the ROC curve, and the degree of fit of the prediction curve in the calibration plot. The validation cohort verified the accuracy and applicability of the nomograms.

Result: The patient's age, tumor histologic type, Ann Arbor stage, grade of differentiation, and whether or not they received radiation and chemotherapy were significantly associated with poor prognosis in PTL.

Conclusion: The nomogram constructed based on multivariate COX regression analysis can predict the prognosis of PTL patients. The online visualization nomogram can help clinicians calculate the survival rate of PTL tumor patients and conduct personalized prognostic assessments for PTL tumor patients.