Purpose Patients with CNS tumors is affected by many characteristics. Socioeconomic status (SES) has been found to affect many tumors’ survival. This study focuses on the influence of SES in CNS tumor. Methods Patient data were extracted from the Surveillance, Epidemiology, and End Results database. Supervised optimal binning and information value (IV) were used for SES assessment. Kaplan-Meier, Cox regression, area under curve (AUC) and net reclassification improvement (NRI) were used to assess the predictive performance. Results Median household income (MHI) and at least bachelor's degree (ALBD) were found have proper IV and ability to make a statistically significant classification of overall survival. Both MHI and ALBD have been found to have the ability to further subdivide categories of gender, age, grade, metastasis, histology, surgery, radiotherapy and chemotherapy. Higher MHI and ALBD are associated with better prognosis. Cox regressions with different survival functions and survival time revealed higher MHI and ALBD, younger, married, insured, low grade, local metastasis, perform surgery and chemotherapy are correlate with better survival. ALBD may play an important role than MHI, and MHI might be able to decrease misclassified poor prognosis. Conclusion MHI and ALBD are two of the most important SES in CNS tumor. Higher MHI and ALBD are correlated with better survival. MHI and ALBD could further subdivide categories of other characteristics, and associated with the perform of treatments, which could provide new strategy for personalized treatment.
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Lyu et al. (2024) studied this question.
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