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Updated: Aug 15, 2026

An Intact Pericardium Ischemic Rodent Model
Published on: September 2, 2021
[Causality in cardiology: concepts in evolution]
1Unidad Médica de Alta Especialidad, Hospital de Especialidades 14, Veracruz. g.mendez@imperial.ac.uk
Insights
Understanding cardiovascular disease causality requires exploring historical concepts and modern risk factors. New research integrating clinical and genetic data is crucial for a comprehensive understanding of heart disease origins.
Area of Science:
- Cardiology
- Philosophy of Science
- Epidemiology
Context:
- Examines the historical evolution of causality concepts from ancient philosophers to modern epidemiologists.
- Defines key terms like 'cause' and 'risk' within the context of scientific inquiry.
- Highlights the persistent uncertainty in predicting cardiovascular events despite current risk charts.
Purpose:
- To trace the development of causality concepts relevant to cardiovascular diseases.
- To analyze the limitations of current risk factor identification for coronary heart disease.
- To advocate for integrated research into clinical and genetic factors for understanding cardiovascular disease causality.
Summary:
- Reviews historical and contemporary perspectives on causality, particularly for cardiovascular diseases.
- Identifies limitations in current coronary heart disease risk prediction models, noting significant uncertainty.
- Discusses the limited contribution of genetic polymorphisms to coronary heart disease risk compared to established factors like diabetes and hypercholesterolemia.
Impact:
- Underscores the need for a deeper understanding of cardiovascular disease etiology.
- Emphasizes the importance of combining clinical and genetic data in future research.
- Calls for global research prioritization to unravel the complex causality of cardiovascular diseases.
Abstract:
This paper describes several concepts about causality from Empedocles, Aristoteles and Galeno, to Koch and Hill and the evolution of these concepts related to cardiovascular diseases. Also defines cause and risk, and the philosophical theories about scientific knowledge: inductive versus refutation analysis. On these basis, the study of cardiovascular disease's causality, especially coronary heart disease, allows us the identification of several risk factors involved in its development. However, even with the presently coronary heart disease risk charts (from Framingham and European studies) the higher probability for the development of a cardiovascular ischemic event is around 40%, establishing an important degree of uncertainty. With the improvement in molecular biology techniques, genetics have attempted to analyse several genetic polymorphisms in search of the origin of coronary heart disease. Unfortunately, less than 10% of these polymorphisms have had a positive correlation with coronary heart disease being of minor risk that those obtained for having the diagnosis of type 2 diabetes mellitus or hypercholesterolemia. On these basis, the requirement of new population research projects in which clinical and genetic risk factors are to be studied for the appropriate understanding of the causality process of cardiovascular diseases must be a worldwide priority.
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