Age at diagnosis and sex interact to modify primary malignant glioma incidence and survival
| Autor: | Judith A. Schwartzbaum, Randall E. Harris |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
sex differences
Adult Male Oncology Cancer Research medicine.medical_specialty Clinical Investigations MEDLINE Age at diagnosis survival Central Nervous System Neoplasms Young Adult Text mining Internal medicine Glioma medicine AcademicSubjects/MED00300 Humans Child Proportional Hazards Models Brain Neoplasms business.industry Incidence Incidence (epidemiology) Infant Newborn Brain Infant Middle Aged medicine.disease United States CBTRUS age Child Preschool AcademicSubjects/MED00310 Female Neurology (clinical) business SEER Program |
| Zdroj: | Neuro Oncol Neuro-Oncology |
| ISSN: | 1523-5866 1522-8517 |
| DOI: | 10.1093/neuonc/noab250 |
| Popis: | Background Gliomas are the most common type of malignant brain and other CNS tumors, accounting for 80.8% of malignant primary brain and CNS tumors. They cause significant morbidity and mortality. This study investigates the intersection between age and sex to better understand variation of incidence and survival for glioma in the United States. Methods Incidence data from 2000 to 2017 were obtained from CBTRUS, which obtains data from the NPCR and SEER, and survival data from the CDC’s NPCR. Age-adjusted incidence rate ratios (IRR) per 100 000 were generated to compare male-to-female incidence by age group. Cox proportional hazard models were performed by age group, generating hazard ratios to assess male-to-female survival differences. Results Overall, glioma incidence was higher in males. Male-to-female incidence was lowest in ages 0-9 years (IRR: 1.04, 95% CI: 1.01-1.07, P = .003), increasing with age, peaking at 50-59 years (IRR: 1.56, 95% CI: 1.53-1.59, P < .001). Females had worse survival for ages 0-9 (HR: 0.93, 95% CI: 0.87-0.99), though male survival was worse for all other age groups, with the difference highest in those 20-29 years (HR: 1.36, 95% CI: 1.28-1.44). Incidence and survival differences by age and sex also varied by histological subtype of glioma. Conclusions To better understand the variation in glioma incidence and survival, investigating the intersection of age and sex is key. The current work shows that the combined impact of these variables is dependent on glioma subtype. These results contribute to the growing understanding of sex and age differences that impact cancer incidence and survival. |
| Databáze: | OpenAIRE |
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