Published online Mar 15, 2023. doi: 10.4251/wjgo.v15.i3.533
Peer-review started: November 13, 2022
First decision: January 11, 2023
Revised: February 9, 2023
Accepted: February 22, 2023
Article in press: February 22, 2023
Published online: March 15, 2023
Processing time: 121 Days and 13.6 Hours
Extranodal marginal B-cell lymphoma of mucosa-associated lymphoid tissue, known as MALT lymphoma, is a type of non-Hodgkin’s lymphoma. The prognosis of primary gastric MALT (GML) patients can be affected by many factors. Few studies have investigated the prognostic variables for overall survival (OS) in patients with primary GML. We searched a large amount of data on patients diagnosed with primary GML in the Surveillance, Epidemiology and End Results (SEER) database.
In this study, we investigated the significant risk factors of primary GML and build an effective survival nomogram model for primary GML patients.
To develop and verify a survival nomogram model that can predict the OS prognosis of primary GML by combining prognostic and determinant variables.
All data of patients with primary GML were collected from the SEER database. Based on the LASSO and COX regression, we created and further verified the accuracy and effectiveness of the survival nomogram model by the concordance index (C-index), calibration curve and time-dependent receiver operating characteristic (td-ROC) curves.
A total of 2604 patients diagnosed with primary GML were selected for this study. A total of 1823 and 781 people were randomly distributed into the training and testing sets at a ratio of 7:3. The median follow-up of all patients was 71 mo, and the 3- and 5-year OS rates were 87.2% and 79.8%, respectively. Age, sex, race, Ann Arbor stage and radiation were independent risk factors for OS of primary GML (all P < 0.05). The C-index values of the nomogram were 0.751 (95%CI: 0.729-0.773) and 0.718 (95%CI: 0.680-0.757) in the training and testing cohorts, respectively, showing the good discrimination ability of the nomogram model. Td-ROC curves and calibration plots also indicated satisfactory predictive power and good agreement of the model. Overall, the nomogram shows favorable performance in discriminating and predicting the OS of patients with primary GML.
A nomogram was developed and validated to have good survival predictive performance based on five clinical independent risk factors for OS for primary GML patients.
Nomograms are a low-cost and convenient clinical tool in assessing individualized prognosis and treatment for patients with primary GML.