ArticleJournal of Cancer2024
Age-related Disparities in Pan-Cancer Mortality and Causes of Death: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data.
Article in Journal of Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Prognostic Value of the Gustave Roussy Immune Score in Patients with Locally Advanced Gastric Cancer Receiving Neoadjuvant FLOT Chemotherapy: A Retrospective Cohort Study.Diagnostics (Basel, Switzerland) · 2026Article
- Cause-Specific Mortality in Gastroesophageal Cancer: A 30-Year Real-World Analysis from the Vienna Gastroesophageal Cancer Database.Clinical epidemiology · 2026Article
- Associations Between Malignant Tumors and Alzheimer's Disease: A Cross-Sectional Study.Brain and behavior · 2025Article
- Changes of CA19-9 levels and related influencing factors in patients with type 2 diabetes mellitus after antidiabetic therapy.Scientific reports · 2025Observational
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Comprehensive analysis of mortality and causes of death (COD) in cancers was of importance to conduct intervention strategies. The current study aimed to investigate the mortality rate and COD among cancers, and to explore the disparities between age. Initially, cancer patients diagnosed between 2010 and 2019 from the surveillance, epidemiology, and end results (SEER) database were extracted. Then, frequencies and percentage of deaths, and mortality rate in different age groups were calculated. Meanwhile, age distribution of different COD across tumor types was illustrated while the standardized mortality ratios (SMR) stratified by age were calculated and visualized. A total of 2,670,403 death records were included and digestive system cancer (688,953 death cases) was the most common primary cancer type. The mortality rate increased by 5.6% annually in total death, 4.0% in cancer-specific death and 10.9% in non-cancer cause. As for cancer-specific death, the age distribution varied among different primary tumor types due to prone age and prognosis of cancer. The top five non-cancer causes in patients older than 50 were cardiovascular and cerebrovascular disease, other causes, COPD and associated conditions, diabetes as well as Alzheimer. The SMRs of these causes were higher among younger patients and gradually dropped in older age groups. Mortality and COD of cancer patients were heterogeneous in age group due to primary tumor types, prone age and prognosis of cancer. Our study conducted that non-cancer COD was a critical part in clinical practice as well as cancer-specific death. Individualized treatment and clinical intervention should be made after fully considering of the risk factor for death in different diagnosis ages and tumor types.
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