Disentangling the relationship between cancer mortality and COVID-19 in the US.

Publication date: Aug 27, 2024

Cancer is considered a risk factor for COVID-19 mortality, yet several countries have reported that deaths with a primary code of cancer remained within historic levels during the COVID-19 pandemic. Here, we further elucidate the relationship between cancer mortality and COVID-19 on a population level in the US. We compared pandemic-related mortality patterns from underlying and multiple cause (MC) death data for six types of cancer, diabetes, and Alzheimer’s. Any pandemic-related changes in coding practices should be eliminated by study of MC data. Nationally in 2020, MC cancer mortality rose by only 3% over a pre-pandemic baseline, corresponding to ~13,600 excess deaths. Mortality elevation was measurably higher for less deadly cancers (breast, colorectal, and hematological, 2-7%) than cancers with a poor survival rate (lung and pancreatic, 0-1%). In comparison, there was substantial elevation in MC deaths from diabetes (37%) and Alzheimer’s (19%). To understand these differences, we simulated the expected excess mortality for each condition using COVID-19 attack rates, life expectancy, population size, and mean age of individuals living with each condition. We find that the observed mortality differences are primarily explained by differences in life expectancy, with the risk of death from deadly cancers outcompeting the risk of death from COVID-19.

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Concepts Keywords
Cancer Adult
Covid Aged
Diabetes Aged, 80 and over
Poor Alzheimer Disease
cancer
cancer biology
COVID-19
COVID-19
Diabetes Mellitus
epidemiology
excess mortality
Female
global health
Humans
Male
Middle Aged
Neoplasms
none
Pandemics
Risk Factors
SARS-CoV-2
United States

Semantics

Type Source Name
disease MESH cancer
disease MESH COVID-19
disease VO population
disease MESH death
disease MESH Alzheimer Disease
pathway KEGG Alzheimer disease
disease MESH Diabetes Mellitus

Original Article

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