ReviewJournal of diabetes science and technology2016
Glucose Control in the ICU: A Continuing Story.
Review in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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
34 citing papers in PubMed.
- Accuracy and feasibility of real-time continuous glucose monitoring in early postoperative intensive care after liver transplantation.Therapeutic advances in endocrinology and metabolism · 2026Article
- Association of continuous glucose monitoring with in-hospital adverse outcomes among critically ill patients: a real-world propensity score-matched study.Frontiers in endocrinology · 2026Article
- Flash Glucose Monitoring for Predicting Cardiogenic Shock Occurrence in Critically Ill Patients: A Retrospective Pilot Study.Diagnostics (Basel, Switzerland) · 2025Article
- Alternative Site of Real-Time Continuous Glucose Monitoring Sensor Application for Abdominal Surgery in the Infraclavicular Region.Journal of diabetes science and technology · 2023Article
- Nursing Perspectives on the Use of Continuous Glucose Monitoring in the Intensive Care Unit.Journal of diabetes science and technology · 2023Article
- Estimating Enhanced Endogenous Glucose Production in Intensive Care Unit Patients with Severe Insulin Resistance.Journal of diabetes science and technology · 2022Article
- Glycemic control in critically ill patients with or without diabetes.BMC anesthesiology · 2022Article
- Individualized glycaemic management for critically ill patients. Authors' reply.Intensive care medicine · 2022Article
- Practice of hyperglycaemia control in intensive care units of the Military Hospital, Sudan-Needs of a protocol.PloS one · 2022Article
- Inpatient Hyperglycemia Management and COVID-19.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021Review
- GLU: a software package for analysing continuously measured glucose levels in epidemiology.International journal of epidemiology · 2020Article
- Risk and reward: extending stochastic glycaemic control intervals to reduce workload.Biomedical engineering online · 2020Article
- Dynamic properties of glucose complexity during the course of critical illness: a pilot study.Journal of clinical monitoring and computing · 2020Observational
- Higher glycemic variability within the first day of ICU admission is associated with increased 30-day mortality in ICU patients with sepsis.Annals of intensive care · 2020Article
- Managing hyperglycemia during the COVID-19 pandemic: Improving outcomes using new technologies in intensive care.SAGE open medicine · 2020Review
- Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients.Medical devices (Auckland, N.Z.) · 2020Article
- Updates in Glycemic Management in the Hospital.Current diabetes reports · 2019Review
- Advancing the Use of CGM Devices in a Non-ICU Setting.Journal of diabetes science and technology · 2019Review
- Glucose Management Technologies for the Critically Ill.Journal of diabetes science and technology · 2019Review
- Glucose control in the ICU.Current opinion in anaesthesiology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the present era of near-continuous glucose monitoring (CGM) and automated therapeutic closed-loop systems, measures of accuracy and of quality of glucose control need to be standardized for licensing authorities and to enable comparisons across studies and devices. Adequately powered, good quality, randomized, controlled studies are needed to assess the impact of different CGM devices on the quality of glucose control, workload, and costs. The additional effects of continuing glucose control on the general floor after the ICU stay also need to be investigated. Current algorithms need to be adapted and validated for CGM, including effects on glucose variability and workload. Improved collaboration within the industry needs to be encouraged because no single company produces all the necessary components for an automated closed-loop system. Combining glucose measurement with measurement of other variables in 1 sensor may help make this approach more financially viable.
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.