ArticleAnnals of surgical oncology2024
Detection and Management of Perioperative Hyperglycemia at a Tertiary Cancer Center.
Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 1 institution in 1 country.
Funding
Abstract
introductionTo improve the detection and management of perioperative hyperglycemia at our tertiary cancer center, we implemented a glycemic control quality improvement initiative. The primary goal was to decrease the percentage of diabetic patients with median postoperative glucose levels > 180 mg/dL during hospitalization by 15% within 2 years.
methodsA multidisciplinary team standardized preoperative screening, preoperative, intraoperative, and postoperative hyperglycemia management. We included all patients undergoing nonemergent inpatient and outpatient operations. We used a t test, rank sum, chi-square, or Fisher's exact test to assess differences in outcomes between patients at baseline (BL) (10/2018-4/2019), during the first phase (P1) (10/2019-4/2020), second phase (P2) (5/2020-12/2020), and maintenance phase (M) (1/2021-10/2022).
resultsThe analysis included 9891 BL surgical patients (1470 with diabetes), 8815 P1 patients (1233 with diabetes), 10,401 P2 patients (1531 with diabetes) and 30,410 M patients (4265 with diabetes). The percentage of diabetic patients with median glucose levels >180 mg/dL during hospitalization decreased 32% during the initiative (BL, 20.1%; P1, 16.9%; P2, 12.1%; M, 13.7% [P < .001]). We also saw reductions in the percentages of diabetic patients with median glucose levels >180 mg/dL intraoperatively (BL, 34.0%; P1, 26.6%; P2, 23.9%; M, 20.3% [P < .001]) and in the postanesthesia care unit (BL, 36.0%; P1, 30.4%; P2, 28.5%; M, 25.8% [P < .001]). The percentage of patients screened for diabetes by hemoglobin A1C increased during the initiative (BL, 17.5%; P1, 52.5%; P2, 66.8%; M 74.5% [P < .001]).
conclusionsOur successful initiative can be replicated in other hospitals to standardize and improve glycemic control among diabetic surgical patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.