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Cited by 259

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Perioperative Glycemic Control: An Evidence-based Review

Lipshutz, Angela K. M., Gropper, Michael A., Warner, David S., Warner, Mark A.·2009·Anesthesiology

Abstract

Hyperglycemia in perioperative patients has been identified as a risk factor for morbidity and mortality. Intensive insulin therapy (IIT) has been shown to reduce morbidity and mortality among the critically ill, decrease infection rates and improve survival after cardiac surgery, and improve outcomes in acute neurologic injury and acute myocardial infarction. However, recent evidence of severe hypoglycemia and adverse events associated with IIT brings its safety and efficacy into question. In this article, we summarize the mechanisms and rationale of hyperglycemia and IIT, review the evidence behind the use of IIT in the perioperative period, and discuss the implications of including glycemic control in national quality benchmarks. We conclude that while avoidance of hyperglycemia is clearly beneficial, the appropriate glucose target and specific subpopulations who might benefit from IIT have yet to be identified. Given the potential for harm, inclusion of glucose targets in national quality benchmarks is premature.

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Registry

Crossref · 10.1097/aln.0b013e3181948a80

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Metadata

Authors
Lipshutz, A. K. M., Gropper, M. A., Warner, D. S., & Warner, M. A.
Venue
Anesthesiology
Published
2009-02-01
Volume
110
Issue
2
Pages
408-421
ISSN
0003-3022 (ISSN-L)
OpenAlex
W2083935875
Cited by
259
References
12
FWCI
20.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Perioperative Glycemic Control: An Evidence-based Review. https://app.cochat.ai/papers/10.1097/aln.0b013e3181948a80
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Lipshutz, A. K. M., Gropper, M. A., Warner, D. S., & Warner, M. A. (2009). Perioperative Glycemic Control: An Evidence-based Review. Anesthesiology. https://doi.org/10.1097/aln.0b013e3181948a80

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.