ReviewCritical care (London, England)2009
Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.
Review in Critical care (London, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01085071 (GRIP-COMPASS Trial), which is not on this map. Cited by 14 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.
GRIP-COMPASS Trial: Computer-driven Glucose and Potassium Regulation Program in Intensive Care Patients With COMparison of PotASSium Targets Within normokAlemic Range
Who cites it
14 citing papers in PubMed.
- What, why and how to monitor blood glucose in critically ill patients.World journal of diabetes · 2023Review
- Optimal Blood Glucose Monitoring Interval for Insulin Infusion in Critically Ill Non-Cardiothoracic Patients: A Pilot Study.Acta bio-medica : Atenei Parmensis · 2021Article
- Hypoglycemia Prevention by Algorithm Design During Intravenous Insulin Infusion.Current diabetes reports · 2018Review
- Intraoperative blood glucose management: impact of a real-time decision support system on adherence to institutional protocol.Journal of clinical monitoring and computing · 2016Article
- Space GlucoseControl system for blood glucose control in intensive care patients--a European multicentre observational study.BMC anesthesiology · 2016Observational
- Continuous Insulin Infusion: When, Where, and How?Diabetes spectrum : a publication of the American Diabetes Association · 2014Article
- Glucose control in intensive care: usability, efficacy and safety of Space GlucoseControl in two medical European intensive care units.BMC endocrine disorders · 2014Article
- Continuous glucose control in the ICU: report of a 2013 round table meeting.Critical care (London, England) · 2014Review
- The future is now: software-guided intensive insulin therapy in the critically ill.Journal of diabetes science and technology · 2013Review
- Basal-bolus insulin protocols enter the computer age.Current diabetes reports · 2012Review
- Development of a computerized intravenous insulin application (AutoCal) at Kaiser Permanente Northwest, integrated into Kaiser Permanente HealthConnect: impact on safety and nursing workload.The Permanente journal · 2012Article
- Trial design: Computer guided normal-low versus normal-high potassium control in critically ill patients: Rationale of the GRIP-COMPASS study.BMC anesthesiology · 2010Article
- Implementation and evaluation of a nurse-centered computerized potassium regulation protocol in the intensive care unit--a before and after analysis.BMC medical informatics and decision making · 2010Article
- Hourly measurements not required for safe and effective glycemic control in the critically ill patient.Critical care (London, England) · 2010Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current care guidelines recommend glucose control (GC) in critically ill patients. To achieve GC, many ICUs have implemented a (nurse-based) protocol on paper. However, such protocols are often complex, time-consuming, and can cause iatrogenic hypoglycemia. Computerized glucose regulation protocols may improve patient safety, efficiency, and nurse compliance. Such computerized clinical decision support systems (Cuss) use more complex logic to provide an insulin infusion rate based on previous blood glucose levels and other parameters. A computerized CDSS for glucose control has the potential to reduce overall workload, reduce the chance of human cognitive failure, and improve glucose control. Several computer-assisted glucose regulation programs have been published recently. In order of increasing complexity, the three main types of algorithms used are computerized flowcharts, Proportional-Integral-Derivative (PID), and Model Predictive Control (MPC). PID is essentially a closed-loop feedback system, whereas MPC models the behavior of glucose and insulin in ICU patients. Although the best approach has not yet been determined, it should be noted that PID controllers are generally thought to be more robust than MPC systems. The computerized Cuss that are most likely to emerge are those that are fully a part of the routine workflow, use patient-specific characteristics and apply variable sampling intervals.
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.