The DOI matches its Crossref record; 201 of the 205 references it cites were found in a registry or an index.
Statin Safety: An Overview and Assessment of the Data—2005
Abstract
The 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors, or statin drugs, have been studied in numerous controlled human research trials involving hundreds of thousands of study participants. Statins have been prescribed for millions of patients. Based on this vast research and clinical experience, statins have been shown to improve lipid blood levels and reduce atherosclerotic coronary artery disease (CAD) risk, resulting in reduced CAD morbidity and mortality, and in several studies, reduced overall ("all-cause") mortality. From a safety perspective, both research trial evidence and clinical practice experience have demonstrated that statins are generally well tolerated. However, as with all pharmaceuticals, safety considerations exist with both monotherapy and combination statin therapy, mainly involving potential adverse effects on muscle, liver, kidney, and the nervous system. The evidence supporting statin-related potential adverse experiences on these organ systems is sometimes strong and based on clear clinical trial evidence (such as the increased risk of muscle enzyme elevation with higher statin doses). The evidence is at other times more speculative, being based on case reports and inconclusive clinical trial data (such as possible favorable or unfavorable effects of statins on cognition). Because the use of statins is so widespread, it is useful for the clinician to understand statin safety issues and the level of available evidence supporting the contention that various adverse effects are caused by statins. This review presents an assessment of statin safety based on an overview of the current statin safety data and their clinical implications.
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“In a meta-analysis of 21 RCTs700) and in another meta-analysis of 30 RCTs701), the incidence rate of muscles-related adverse reactions with statin use was not found to be significantly different from that with a placebo.”
From Japan Atherosclerosis Society (JAS) guidelines for prevention of atherosclerotic cardiovascular diseases 2017 (2018) · cites this paper as [701]
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Metadata
- Authors
- Bays, H.
- Affiliations
- Louisville Metabolic and Atherosclerosis Research Center (US)
- Corresponding author
- Bays, Harold
- ORCID
- Bays, Harold
- Venue
- The American Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 2006-04
- Volume
- 97
- Issue
- 8
- Pages
- S6-S26
- ISSN
- 0002-9149 (ISSN-L)
- OpenAlex
- W2011527537
- Cited by
- 264
- References
- 205
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 7 · 2021: 6 · 2020: 10 · 2019: 10 · 2018: 12 · 2017: 19 · 2016: 17 · 2015: 11 · 2014: 17 · 2013: 15 · 2012: 12
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Keywords
- statins, drug safety, adverse drug reactions, rhabdomyolysis, elevated liver enzymes, renal function, cognitive effects, lipid-lowering therapy, coronary artery disease, all-cause mortality
- MeSH terms
- Hypolipidemic Agents, Dementia, Dose-Response Relationship, Drug, Drug Therapy, Combination, Humans, Kidney Diseases, Liver, Muscular Diseases, Peripheral Nervous System Diseases, Proteinuria, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Evidence-Based Medicine, Stroke, Chemical and Drug Induced Liver Injury
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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.
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