Trial reportJournal of diabetes science and technology2010
Continuous glucose monitoring system in a rural intensive care unit: a pilot study evaluating accuracy and acceptance.
Trial report in Journal of diabetes science and technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline.Journal of diabetes science and technology · 2020Guideline
- Accuracy of a novel noninvasive transdermal continuous glucose monitor in critically ill patients.Journal of diabetes science and technology · 2014Trial
- Accuracy of subcutaneous continuous glucose monitoring in critically ill adults: improved sensor performance with enhanced calibrations.Diabetes technology & therapeutics · 2014Trial
- Evaluation of a novel continuous glucose measurement device in patients with diabetes mellitus across the glycemic range.Journal of diabetes science and technology · 2011Trial
- Accuracy of continuous glucose monitoring systems in intensive care unit patients: a scoping review.Intensive care medicine · 2024Article
- Correlation between short- and mid-term hemoglobin A1c and glycemic control determined by continuous glucose monitoring.Diabetology & metabolic syndrome · 2021Article
- Continuous Glucose Monitoring in the Hospital.Endocrinology and metabolism (Seoul, Korea) · 2021Review
- Designing the Glucose Telemetry for Hospital Management: From Bedside to the Nursing Station.Current diabetes reports · 2018Review
- Diabetes Technology Update: Use of Insulin Pumps and Continuous Glucose Monitoring in the Hospital.Diabetes care · 2018Review
- Inpatient Continuous Glucose Monitoring and Glycemic Outcomes.Journal of diabetes science and technology · 2017Review
- Continuous glucose monitoring system in the operating room and intensive care unit: any difference according to measurement sites?Journal of clinical monitoring and computing · 2017Observational
- Point accuracy and reliability of an interstitial continuous glucose-monitoring device in critically ill patients: a prospective study.Critical care (London, England) · 2015Observational
- Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review.Journal of diabetes science and technology · 2014Review
- Continuous Glucose Monitoring Systems: A Review.Diagnostics (Basel, Switzerland) · 2013Review
- Real-time continuous glucose monitoring shows high accuracy within 6 hours after sensor calibration: a prospective study.PloS one · 2013Article
- The use of continuous glucose monitoring combined with computer-based eMPC algorithm for tight glucose control in cardiosurgical ICU.BioMed research international · 2013Article
- Real-time continuous glucose monitoring in an intensive care unit: better accuracy in patients with septic shock.Diabetes technology & therapeutics · 2012Article
- Automated near-continuous glucose monitoring measured in plasma using mid-infrared spectroscopy.Journal of diabetes science and technology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlucose management in an intensive care unit (ICU) is labor-intensive. A continuous glucose monitoring system (CGMS) has the potential to improve efficiency and safety in this setting. The goal of this study was to determine if the Medtronic Guardian REAL-Time CGMS was accurate and tolerated by patients in a rural hospital ICU unit.
methodDifferences between individual finger stick blood glucose (FSBG) and CGMS values were compared to American Diabetes Association (ADA) and International Organization for Standardization (ISO) standards. Continuous glucose monitoring system accuracy was evaluated over four ranges: <75, 75-140, 140-200, and >200 mg/dl. Other accuracy measures [mean absolute deviation (MAD), mean absolute relative difference (MARD), and coefficient of linear regression of CGMS on FSBG] were calculated. Nursing staff and patients were surveyed regarding use of the CGMS in the ICU.
resultsTwenty-nine participants had 320 FSBG and corresponding CGMS readings. Sixty-two percent of participants were admitted with diabetic ketoacidosis (DKA). Two hundred and thirteen (66.6%) were accurate within the ISO standard, whereas only 70 out of 320 (21.9%) were within the 5% ADA standard. The CGMS was most accurate in euglycemia. Technical difficulties, such as adequate time for "wetting" and calibration of electrodes, arose with the sensors. The MAD was 28.3 mg/dl, the MRAD was 17.4%, and the linear regression coefficient of CGMS on FSBG was 0.834 (p < 0.001).
conclusionsThe CGMS is well tolerated by ICU patients but, at present, is not sufficiently accurate to be used for therapeutic decisions in the acute setting, particularly in patients with diabetic ketoacidosis. There is a need to find resolution to the technical issues regarding electrode "wetting" and calibration if CGMS use in the ICU setting is to provide an effective means of diabetes care and management.
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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.