ArticleThe American journal of cardiology2023
Geographical Patterns and Risk Factor Association of Cardio-Oncology Mortality in the United States.
Article in The American journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Racial and Ethnic Disparities in Cardio-Oncology Care.Current cardiology reports · 2025Review
- The association between county-level social determinants of health and cardio-kidney-metabolic disease attributed all-cause mortality in the US: A cross sectional analysis.The American journal of the medical sciences · 2025Article
- Exposomic Determinants of Atherosclerosis: Recent Evidence.Current atherosclerosis reports · 2025Review
- Enhancing neuro-oncology care through equity-driven applications of artificial intelligence.Neuro-oncology · 2024Review
- Effects of cadherin mediated contact normalization on oncogenic Src kinase mediated gene expression and protein phosphorylation.Scientific reports · 2024Article
- Social and Environmental Determinants of Health and Cardio-Kidney-Metabolic Syndrome-Related Mortality.JAMA network open · 2024Article
- Social Determinants of Health in Cardio-Oncology: Multi-Level Strategies to Overcome Disparities in Care:JACC. CardioOncology · 2024Review
- Air Pollution in Cardio-Oncology and Unraveling the Environmental Nexus:JACC. CardioOncology · 2024Review
- Tracing the Pathways From Cardiovascular Disease to Cancer: The Unseen Link.JACC. CardioOncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Cardio-oncology mortality (COM) is a complex issue that is compounded by multiple factors that transcend a depth of socioeconomic, demographic, and environmental exposures. Although metrics and indexes of vulnerability have been associated with COM, advanced methods are required to account for the intricate intertwining of associations. This cross-sectional study utilized a novel approach that combined machine learning and epidemiology to identify high-risk sociodemographic and environmental factors linked to COM in United States counties. The study consisted of 987,009 decedents from 2,717 counties, and the Classification and Regression Trees model identified 9 county socio-environmental clusters that were closely associated with COM, with a 64.1% relative increase across the spectrum. The most important variables that emerged from this study were teen birth, pre-1960 housing (lead paint indicator), area deprivation index, median household income, number of hospitals, and exposure to particulate matter air pollution. In conclusion, this study provides novel insights into the socio-environmental drivers of COM and highlights the importance of utilizing machine learning approaches to identify high-risk populations and inform targeted interventions for reducing disparities in COM.
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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.