Evidence map›Paper›PMID 41497100›Full record

ArticleAnnals of medicine and surgery (2012)2026

Global comorbidity of ischemic heart disease and liver cancer: an ecological analysis of shared risk factors.

Fei Xie, Xinlin Yu, Xialin Zhang, Cheng Ma, Ran Cui

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fei XieDepartment of Hepatobiliary Surgery, First People's Hospital of Neijiang, Neijiang, Sichuan, China.
Xinlin YuDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Xialin ZhangDepartment of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Cheng MaDepartment of Oncology, First People's Hospital of Neijiang, Neijiang, Sichuan, China.
Ran CuiDepartment of Respiratory and Critical Care Medicine, First People's Hospital of Neijiang, Neijiang, Sichuan, China.ORCID https://orcid.org/0000-0003-3328-0160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ischemic heart disease (IHD) and liver cancer (LC), traditionally managed as separate clinical entities, are increasingly linked by the global rise of metabolic syndrome. However, the epidemiological footprint of this comorbidity remains uncharacterized on a global scale. To provide a comprehensive epidemiological assessment of IHD and LC comorbidity, this investigation was designed to map their global co-occurrence patterns, distinguish their underlying shared and unique risk determinants, and evaluate the resultant disease burden. Methods: In this global, cross-sectional ecological analysis, we used 2021 data from the Global Burden of Disease study for 200 countries and territories. We developed a novel classification system to categorize countries into three comorbidity archetypes (IHD-dominant, LC-dominant, or consistent) based on relative age-standardized incidence rates. Machine learning models (Random Forest with Shapley Additive Explanations analysis) were employed to identify and rank the relative importance of environmental, dietary, and metabolic risk factors. The population attributable fraction was calculated to quantify the preventable burden associated with these factors. Results: Our analysis revealed three distinct geographical archetypes: an LC-dominant pattern in high-income nations and China; an IHD-dominant pattern in Russia and South Asia; and a consistent pattern in diverse regions like Egypt and Indonesia. Spatiotemporal analysis from 1990 to 2021 showed a widening inequity, with developing nations facing a persistent and severe dual burden. While high sodium intake was the most strongly associated factor for IHD and low whole grain intake for LC, air pollution emerged as a significant shared correlate. We also identified profound gender disparities: females were disproportionately burdened by air pollution and secondhand smoke, whereas males bore a greater burden from high red meat and sodium intake. Conclusion: The comorbidity of IHD and LC is a defining feature of the modern epidemiological landscape, challenging the traditional single-disease paradigm. The findings compel a shift from siloed interventions toward integrated, gender-sensitive public health strategies that address shared metabolic and environmental roots, thereby profoundly diminishing their global public health impact.

Indexed as

epidemiologyglobal burdenischemic heart diseaseliver cancerrisk factors

Identifiers

PMID41497100
PMCPMC12768020

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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.