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Epidemiology as a Guide to Clinical Decisions: The Association between Triglyceride and Coronary Heart Disease
Abstract
The hypothesis that triglyceride is a cause of coronary heart disease, although unconfirmed and never universally accepted, has nonetheless strongly influenced the practice of preventive medicine. We have examined the epidemiologic association between triglyceride and coronary heart disease to evaluate the validity of inferring that there is a causal relation between the two. Neither the evidence from published studies nor an analysis of data from the Western Collaborative Group Study provides strong support for the causal hypothesis. Information from other scientific disciplines is also meager, contrasting with the coherence of diverse evidence supporting the hypothesis that cholesterol is a cause of coronary heart disease. These arguments fall short of disproving the belief that lowering triglyceride will prevent coronary heart disease, especially since triglyceride and cholesterol are inextricably associated through mutual lipoprotein carriers. But we propose that the ethics of preventive medicine place the burden of proof on the proponents of intervention. We therefore recommend that widespread screening and treatment of healthy persons for hypertriglyceridemia be abandoned until more persuasive evidence becomes available.
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“observational studies and clinical trials 3,232,367,374 -380 that have consistently demonstrated the lowest risk of incident and recurrent CVD in association with the lowest fasting triglyceride levels.”
From Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association (2011) · cites this paper as [3]
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Eisenberg, S. (1985) · Springer eBooks · doi:10.1007/978-1-4613-2459-1_6 · Cited by 6
The Role of School Health Education in Preventing Heart, Lung, and Blood Diseases
Kolbe, L. J., & Newman, I. M. (1984) · Health Education · doi:10.1080/00970050.1984.10614448 · Cited by 6
Lipid-lowering drug therapy: more knowledge leads to more problems for composers of guidelines
Durrington, P. N., & Illingworth, D. R. (2000) · Current Opinion in Lipidology · doi:10.1097/00041433-200008000-00001 · Cited by 6
Lessons from the Helsinki Heart Study
Grundy, S. M. (1988) · Postgraduate Medicine · doi:10.1080/00325481.1988.11700349 · Cited by 6
Metadata
- Authors
- Hulley, S. B., Rosenman, R. H., Bawol, R. D., & Brand, R. J.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 1980-06-19
- Volume
- 302
- Issue
- 25
- Pages
- 1383-1389
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W1989258056
- Cited by
- 702
- References
- 88
- Citations by year
- 2025: 4 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 7 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 4 · 2016: 7 · 2015: 9 · 2014: 8 · 2013: 7 · 2012: 11
- FWCI
- 53.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Keywords
- triglycerides, coronary artery disease, hypertriglyceridemia, causal inference, cholesterol, preventive medicine, burden of proof, screening, lipid-lowering therapy, clinical decision-making
- MeSH terms
- Adult, Cholesterol, Coronary Disease, Decision Making, Epidemiologic Methods, Ethics, Medical, Health Policy, Humans, Middle Aged, Retrospective Studies, Risk, Triglycerides
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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