Cited by 119Hyperglycemia and glycemic control in critically ill and hospitalized patientsSurgical site infection preventionEnhanced Recovery After Surgery

Intensive versus intermediate glucose control in surgical intensive care unit patients

Open access
Okabayashi, Takehiro, Shima, Yasuo, Sumiyoshi, Tatsuaki, Kozuki, Akihito, Tokumaru, Teppei, Iiyama, Tasuo, Sugimoto, Takeki, Kobayashi, Michiya +2 more·2014·Diabetes Care

Abstract

Objective The optimal perioperative blood glucose range to improve surgical site infection (SSI) in surgical intensive care unit (ICU) patients remains unclear. We sought to determine whether the incidence of SSI is reduced by perioperative intensive insulin therapy (IT). Research design and methods Patients were randomly assigned to receive perioperative intensive IT, with a target blood glucose range of 4.4-6.1 mmol/L, or intermediate IT, with a target blood glucose range of 7.7-10.0 mmol/L in the surgical ICU. We defined the primary end point as the incidence of SSI. Results Study participants were randomly assigned to glucose control with one of two target ranges: for 225 patients in the intermediate IT group or for 222 patients in the intensive IT group, respectively. No patients in either group became hypoglycemic ( Conclusions We found that intensive IT decreased the incidence of SSI among patients who underwent hepato-biliary-pancreatic surgery: a blood glucose target of 4.4 to 6.1 mmol/L resulted in lower rate of SSI than did a target of 7.7-10.0 mmol/L.

Integrity signals

Registry

Crossref · 10.2337/dc13-1771

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Overall evidence supports preadmission treatment of hyperglycemia in people scheduled for elective surgery as an effective means of reducing adverse outcomes.

    “Overall evidence supports preadmission treatment of hyperglycemia in people scheduled for elective surgery as an effective means of reducing adverse outcomes (139,140).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Okabayashi, T., Shima, Y., Sumiyoshi, T., Kozuki, A., Tokumaru, T., Iiyama, T., Sugimoto, T., Kobayashi, M., Yokoyama, M., & Hanazaki, K.
Affiliations
University of Kochi (JP)
Corresponding author
Okabayashi, Takehiro
Venue
Diabetes Care
Published
2014-05-10
Volume
37
Issue
6
Pages
1516-1524
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2136437903
Cited by
119
References
4
Citations by year
2026: 8 · 2025: 4 · 2024: 10 · 2023: 9 · 2022: 9 · 2021: 8 · 2020: 13 · 2019: 7 · 2018: 20 · 2017: 7 · 2016: 12 · 2015: 8 · 2014: 4
FWCI
8.31
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Diabetes Care (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Health Sciences › Medicine › Surgery › Surgical site infection prevention
  • Health Sciences › Medicine › Surgery › Enhanced Recovery After Surgery
Keywords
intensive insulin therapy, perioperative blood glucose control, surgical site infection, hepatopancreatobiliary surgery, pancreatic fistula, length of hospital stay, hypoglycemia, surgical intensive care unit
MeSH terms
Aged, Biliary Tract Diseases, Blood Glucose, Female, Hospitalization, Humans, Hypoglycemic Agents, Insulin, Intensive Care Units, Liver Diseases, Male, Pancreatic Diseases, Postoperative Complications, Prognosis, Prospective Studies, Surgical Wound Infection

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 ›

Are you an author, or do you see a problem with this page? Request a review