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Abstract Gliomas are the most prevalent primary malignant brain tumors with high mortality. However, current epidemiologic and survival data are lacking. Analyzing 71,040 patients diagnosed with gliomas from 2000 to 2018 in the SEER database, we found a decline in age-adjusted incidence rates from 4.42 to 3.95/100,000 APC of -0.43 (95%CI, -0.59 to -0.26). Among 71,040 cases, the majority were male and White race, with glioblastoma as the predominant histology, primarily located at the cerebrum, and mostly categorized as high-grade tumors. Significant age and grade variations existed among different histology and site groups. Male, white race, older population, glioblastoma, high-grade tumor and cerebrum site were with the higher incidence. Additionally, the incidence of different histology varied significantly among different age groups. Multivariable analysis identified age, sex, histology, grade, site, and size as prognostic factors, with age and grade having the most significant impact on prognosis. Furthermore, we developed a predictive nomogram model for 1-/3-/5-year survival rates, incorporating prognostic factors. For internal and external validations, the concordance indexes were 0.767 (95%CI, 0.761–0.773) and 0.765 (95%CI, 0.757–0.773), respectively. In conclusion, gliomas incidence and survival exhibit notable disparities based on age, sex, histology, grade, site, and size. The nomogram can accurately predict the risk of death, offering valuable insights for patient care.
Zhao et al. (Mon,) studied this question.