The DOI matches its Crossref record.
Duke University Medical Center Perioperative Diabetes Management Program
Open accessAbstract
Quality Improvement Success Stories are published by the American Diabetes Association in collaboration with the American College of Physicians and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of Clinical Diabetes. The following article describes a project at an academic tertiary-care medical center aimed at identifying surgical patients with uncontrolled diabetes early in the preoperative process to improve their perioperative glycemic control and surgical outcomes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Duke University Medical Center, where diabetic patients with glycated hemoglobin levels exceeding 7.5% achieved improved perioperative glycemic control and reduced surgical complications while awaiting surgery [58].”
From Delayed gastric emptying induced by glucagon-like peptide-1 receptor agonists and its implications for perioperative risk during anesthesia (2026) · cites this paper as [58]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Still being checked.
Research works printed but not linked: 11
- Setji, 2017, Rationalization, development, and implementation of a preoperative diabetes optimization program designed to improve perioperative outcomes and reduce cost, Diabetes Spectr, 30, 217, 10.2337/ds16-0066 · DOI
- Martin, 2016, Diabetes and risk of surgical site infection: a systematic review and meta-analysis, Infect Control Hosp Epidemiol, 37, 88, 10.1017/ice.2015.249 · DOI · Paper page
- Kuhl, 2016, Relationship between preoperative hemoglobin A1c levels and long-term mortality after coronary artery bypass grafting in patients with type 2 diabetes mellitus, Int J Cardiol, 202, 291, 10.1016/j.ijcard.2015.09.008 · DOI
- Lauruschkat, 2005, Prevalence and risks of undiagnosed diabetes mellitus in patients undergoing coronary artery bypass grafting, Circulation, 112, 2397, 10.1161/CIRCULATIONAHA.105.534545 · DOI
- Abdelmalak, 2010, The prevalence of undiagnosed diabetes in non-cardiac surgery patients, an observational study, Can J Anaesth, 57, 1058, 10.1007/s12630-010-9391-4 · DOI
- Umpierrez, 2002, Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes, J Clin Endocrinol Metab, 87, 978, 10.1210/jcem.87.3.8341 · DOI · Paper page
- Duggan, 2017, Perioperative hyperglycemia management: an update, Anesthesiology, 126, 547, 10.1097/ALN.0000000000001515 · DOI · Paper page
- Marchant, 2009, The impact of glycemic control and diabetes mellitus on perioperative outcomes after total joint arthroplasty, J Bone Joint Surg Am, 91, 1621, 10.2106/JBJS.H.00116 · DOI
- Kao, 2009, Peri-operative glycaemic control regimens for preventing surgical site infections in adults, Cochrane Database Syst Rev, CD006806
- Mendez, 2018, Preoperative diabetes optimization program, Clin Diabetes, 36, 68, 10.2337/cd17-0088 · DOI
- Garg, 2018, Effect of preoperative diabetes management on glycemic control and clinical outcomes after elective surgery, Ann Surg, 267, 858, 10.1097/SLA.0000000000002323 · DOI · Paper page
Cited by
Sorted by citations
Kang, D., & Choi, D. (2026) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2025.277 · Cited by 1
Metadata
- Authors
- Lenk, T. A., Whittle, J., Aronson, S., Miller, T. E., Fuller, M., & Setji, T.
- Affiliations
- Duke Medical Center (US)
- Corresponding author
- Lenk, Tara A.
- Venue
- Clinical Diabetes
- Publisher
- American Diabetes Association
- Published
- 2021-04-01
- Volume
- 39
- Issue
- 2
- Pages
- 208-214
- ISSN
- 0891-8929 (ISSN-L)
- 1945-4953
- PMC
- PMC8061555
- OpenAlex
- W3127545704
- Cited by
- 6
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 2 · 2022: 2
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Diabetes (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Health Sciences › Medicine › Surgery › Enhanced Recovery After Surgery
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac, Anesthesia and Surgical Outcomes
- Keywords
- perioperative diabetes management, glycemic control, uncontrolled diabetes, surgical patients, preoperative screening, surgical outcomes, quality improvement, academic medical centers
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
