Trial reportJournal of clinical monitoring and computing2018
Accuracy and reliability of a subcutaneous continuous glucose monitoring device in critically ill patients.
Trial report in Journal of clinical monitoring and computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07687368 (Continuous Glucose Monitoring in Critically Ill Patients), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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.
Continuous Glucose Monitoring in Critically Ill Patients: a Randomized Controlled Trial in the Intensive Care Units of Hospital Clínic of Barcelona (CGM-UCI23)
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Continuous Glucose Monitors and Automated Insulin Dosing Systems in the Hospital Consensus Guideline.Journal of diabetes science and technology · 2020Guideline
- Feasibility of continuous glucose monitoring in children with diabetic ketoacidosis: an exploratory observational study.European journal of pediatrics · 2025Observational
- Continuous interstitial glucose monitoring in diabetic and non-diabetic critically ill patients is simple and accurate: comparison with venous, arterial and capillary glucose measurements.Acta diabetologica · 2025Observational
- Clinical trial protocol for continuous glucose monitoring in critical care at Hospital Clinic of Barcelona (CGM-UCI23).Nursing in critical care · 2025Article
- Cyclic dual latent discovery for improved blood glucose prediction through patient-provider interaction modeling: a prediction study.Ewha medical journal · 2025Article
- Accuracy of continuous glucose monitoring systems in intensive care unit patients: a scoping review.Intensive care medicine · 2024Article
- Real-world Accuracy of CGM in Inpatient Critical and Noncritical Care Settings at a Safety-Net Hospital.Diabetes care · 2023Article
- Nursing Perspectives on the Use of Continuous Glucose Monitoring in the Intensive Care Unit.Journal of diabetes science and technology · 2023Article
- Observational
- Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study.Frontiers in endocrinology · 2022Article
- Blood Sugar Targets in Surgical Intensive Care—Management and Special Considerations in Patients With DiabetesDeutsches Arzteblatt international · 2021Review
- Continuous Glucose Monitoring in the Hospital.Endocrinology and metabolism (Seoul, Korea) · 2021Review
- Evaluation of continuous flash glucose monitoring in a pediatric ICU setting.Journal of clinical monitoring and computing · 2020Article
- Glucose Management Technologies for the Critically Ill.Journal of diabetes science and technology · 2019Review
- Diabetes Technology Update: Use of Insulin Pumps and Continuous Glucose Monitoring in the Hospital.Diabetes care · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Subcutaneous continuous glucose monitoring (CGM) may have benefits in achieving glycemic control in critically ill patients. The aim of this study was to assess the accuracy and reliability of the FreeStyle Navigator I in critically ill patients and to assess patient related factors influencing the accuracy and reliability. This study is a retrospective analysis of data from a randomized controlled trial conducted in a 20-bed mixed intensive care unit. Analytical accuracy, clinical accuracy and reliability were assessed against arterial blood glucose samples as reference. Assessment was according to recent consensus recommendations with median absolute relative difference (median ARD), Bland-Altman plots, the ISO system accuracy standards (ISO 15197:2013) and Clarke error grid analysis (CEG). We analyzed 2840 paired measurements from 155 critically ill patients. The median ARD of all paired values was 13.3 [6.9-22.1]%. The median ARD was significantly higher in both the hypoglycemic and the hyperglycemic range (32.4 [12.1-53.4]% and 18.7 [10.7-28.3]% respectively, p < 0.001). The Bland-Altman analysis showed a mean bias of - 0.82 mmol/L with a lower limit of agreement (LOA) of - 3.88 mmol/L and an upper LOA of 2.24 mmol/L. A total of 1626 (57.3%) values met the ISO-2013, standards and 1,334 (47%) CGM values were within 12.5% from the reference value. CEG: 71.0% zone A, 25.8% zone B, 0.5% zone C, 2.5% zone D, 0.3% zone E. The median overall real-time data display time was 94.0 ± 14.9% and in 23% of the patients, the sensor measured < 95% of the time. Additionally, data gaps longer than 30 min were found in 48% of the patients. The analytical accuracy of the FreeStyle Navigator I in critically ill patients was suboptimal. Furthermore, the clinical accuracy, did not meet the required standards. The reliability was satisfactory, however, in almost a quarter of the patients the realtime data display was < 95%. The accuracy was considerably and significantly lower in hyper- and hypoglycemic ranges.
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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 Socratic graph.