Medication-induced hyperglycemia and diabetes mellitus: a review of current literature and practical management strategies
Open accessAbstract
With the increasing global incidence of diabetes mellitus, physicians may encounter more patients with acute and chronic complications of medication-induced hyperglycemia and diabetes. Moreover, medication-induced diabetes may be an important contributing factor to the high rates of diabetes, and recognizing its impact and risk is a critical step in curtailing its effect on the global population. It has long been recognized that multiple classes of medications are associated with hyperglycemia through various mechanisms, and the ability to foresee this and implement adequate management strategies are important. Moreover, different antihyperglycemic medications are better suited to combat the hyperglycemia encountered with different classes of medications, so it is critical that physicians can recognize which agents should be used, and which medications to avoid in certain types of medication-induced hyperglycemia. In this review, we will discuss the evidence behind the main classes of medications that cause hyperglycemia, their mechanism of action, specific agents that are associated with worsened glycemic control, and, most importantly, management strategies that are tailored to each specific class.
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Systemic phenotypes with convergent pathophysiology (e.g., glucose or calcium dysregulation) may serve as shared translational markers across diverse drug modalities.
“These results underscore how systemic phenotypes with convergent pathophysiology (e.g., glucose or calcium dysregulation) may serve as shared translational markers across diverse drug modalities (Qamar et al., 2023; Jain and Lai, 2024).”
From A large-scale concordance study of toxicity findings across preclinical species and humans for small molecules and biologics (2026) · cites this paper as Jain and Lai, 2024
The Introduction (page unavailable) says that several medication classes can impair glucose homeostasis, supporting glucose dysregulation as a phenotype seen across drug classes. The review does not describe glucose or calcium dysregulation as a shared translational marker, and the searched passages do not substantiate the calcium example. (LLM, conf=0.82)
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- Authors
- Jain, A. B., & Lai, V.
- Affiliations
- University of British Columbia (CA)
- University of Calgary (CA)
- Corresponding author
- Jain, Akshay B.
- Venue
- Diabetes Therapy
- Published
- 2024-07-31
- Volume
- 15
- Issue
- 9
- Pages
- 2001-2025
- ISSN
- 1869-6953 (ISSN-L)
- 1869-6961
- PMC
- PMC11330434
- OpenAlex
- W4401163838
- Cited by
- 32
- References
- 153
- Citations by year
- 2026: 22 · 2025: 9 · 2024: 1
- FWCI
- 1.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Diabetes Therapy (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Libraries and Cultural Resources (University of Calgary) (submittedVersion)
- Funders
- Amgen
- AstraZeneca
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- drug-induced diabetes, antidiabetic drugs, glycemic control, adverse drug reactions, diabetes management strategies, mechanism of action
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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