ArticleJournal of neuro-oncology2023
Mortality trends in primary malignant brain and central nervous system tumors vary by histopathology, age, race, and sex.
Article in Journal of neuro-oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 33 citations in OpenAlex.
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- Trends in primary malignant brain neoplasms associated mortality among individuals of age 25 years and older in united States from 1999 to 2020: a gender, race and demographics based analysis of CDC wonder database.Neurosurgical review · 2025Article
- The global, regional, and national brain and CNS cancers burden and trends from 1990 to 2021.Scientific reports · 2025Article
- Transcriptomics and epigenomics datasets of primary brain cancers in formalin-fixed paraffin embedded format.Scientific data · 2025Article
- Global burden of central nervous system tumors and cancers in older adults: the global burden of disease study 2021.Journal of neurology · 2025Article
- Understanding Diagnostic Costs Using Hospital-Based Encounters in the Year Before Diagnosis for Canadian Patients with Malignant Central Nervous System Tumours Compared to Common Cancers.Current oncology (Toronto, Ont.) · 2025Article
- Early Detection of Glioma: Investigating Inflammatory Markers (CRP), Kidney, and Liver Function.CNS & neurological disorders drug targets · 2025Article
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- CVG-Net: novel transfer learning based deep features for diagnosis of brain tumors using MRI scans.PeerJ. Computer science · 2024Article
- Intelligent tumor tissue classification for Hybrid Health Care Units.Frontiers in medicine · 2024Article
- Predicting survival in glioblastoma with multimodal neuroimaging and machine learning.Journal of neuro-oncology · 2023Article
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- Current trends in the allocation of National Institute of Health funding of brain tumor research.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
purposePrimary malignant brain and other central nervous system tumors are rare cancers that have shown rising mortality rates in recent years. To elucidate potential factors involved in this rising death rate, we examined mortality trends for primary malignant BT in the United States stratified by histopathology groupings, age, race, and sex.
methodsMortality rates for demographic factors within primary malignant BT were generated using the National Center for Health Statistics' National Vital Statistics Systems data from 2004 to 2018. Additionally, histopathology-specific incidence-based mortality rates were calculated using the National Cancer Institute's Surveillance, Epidemiology, and End-Results (SEER) 18 data from 2004 to 2018. Joinpoint modeling was used to estimate mortality trends and annual percent changes with corresponding 95% confidence intervals.
resultsOverall, there was a very small increase in mortality from 2004 to 2018. Individuals > 65 years saw a small increase in mortality, while changes in individuals of other ages were non-significant. Asian/Pacific Islander or American Indian/Alaskan Native had the largest increase in mortality. Among histopathology groupings, there was a small mortality increase in adults ages > 65 years with glioblastoma, while the mortality rate of other malignant gliomas declined in the same age group. CNS lymphoma mortality rates in patients ages 15-39 and 40-64 years declined significantly while rising significantly in the > 65 age group. In pediatric patients, embryonal tumor mortality had a non-significant increase between 2004 and 2007 but declined significantly between 2007 and 2018.
conclusionExamining age, race, sex, and histopathology-specific mortality trends at the population level can provide important information for clinicians, researchers, and aid in public health planning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.