Effects of statin therapy on glycemic control and insulin resistance: a systematic review and meta-analysis
Open accessAbstract
AIMS: To update the evidence about the diabetogenic effect of statins. METHODS: We searched for randomized-controlled trials reporting the effects of statin therapy on glycosylated hemoglobin (HbA1c) and/or homeostatic model insulin resistance (i.e., HOMA-IR) as indexes of diabetes. Studies were classified between the ones testing normal vs individuals with already altered glycemic control (HbA1c ≥ 6.5%; and HOMA-IR ≥ 2.15). Furthermore, studies were separated by statin type and dosage prescribed. Data are presented as mean difference (MD) and 95% confidence intervals. RESULTS: A total of 67 studies were included in the analysis (>25,000 individuals). In individuals with altered glycemic control, statins increased HbA1c levels (MD 0.21%, 95% CI 0.16-to-0.25) and HOMA-IR index (MD 0.31, 95% CI 0.24-to-0.38). In individuals with normal glycemic control, statin increased HbA1c (MD 1.33%, 95% CI 1.31-to-1.35) and HOMA-IR (MD 0.49, 95% CI 0.41-to-0.58) in comparison to the placebo groups. The dose or type of statins did not modulate the diabetogenic effect. CONCLUSIONS: Statins, slightly but significantly raise indexes of diabetes in individuals with adequate or altered glycemic control. The diabetogenic effect does not seem to be influenced by the type or dosage of statin prescribed.
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Statin exposure possibly exacerbates the risk to develop diabetes in individuals with TS, who are already at high risk for metabolic derangement.
“Statin exposure possibly exacerbates the risk to develop diabetes in individuals with TS, who are already at high risk for metabolic derangement.479,480”
From Clinical practice guidelines for the care of girls and women with Turner syndrome. (2024) · cites this paper as [479]
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Clinical practice guidelines for the care of girls and women with Turner syndrome.
Gravholt, C. H., Andersen, N. H., Christin-Maitre, S., Davis, S. M., Duijnhouwer, A., Gawlik, A., Maciel-Guerra, A. T., Gutmark-Little, I., Fleischer, K., Hong, D., et al. (2024) · European Journal of Endocrinology · doi:10.1093/ejendo/lvae050 · Cited by 224 · see citing works
- Authors
- Alvarez-Jimenez, L., Morales-Palomo, F., Moreno-Cabañas, A., Ortega, J. F., & Mora-Rodríguez, R.
- Affiliations
- University of Castilla-La Mancha (ES)
- Venue
- European Journal of Pharmacology
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 947
- Pages
- 175672
- ISSN
- 0014-2999 (ISSN-L)
- OpenAlex
- W4360604542
- Cited by
- 60
- References
- 120
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 19 · 2023: 11
- FWCI
- 3.90
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Pharmacology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- RUIdeRA - Institutional University Repository (University of Castilla-La Mancha) (submittedVersion, cc-by-nc-nd)
- Funders
- Ministerio de Ciencia e Innovación
- España Ministerio de Ciencia e Innovación (PID2020-116159RB-IOO MCIN/AEI/10.13039/501100011033)
- Topics
- Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Keywords
- statins, diabetogenic effect, glycemic control, insulin resistance, HbA1c, HOMA-IR, type 2 diabetes
- MeSH terms
- Glycemic Control, Blood Glucose, Diabetes Mellitus, Diabetes Mellitus, Type 2, Glycated Hemoglobin, Humans, Insulin, Insulin Resistance, Hydroxymethylglutaryl-CoA Reductase Inhibitors
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.
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