Trial reportCritical care (London, England)2017
Software-guided versus nurse-directed blood glucose control in critically ill patients: the LOGIC-2 multicenter randomized controlled clinical trial.
Trial report in Critical care (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02056353 (LOGIC-Insulin Computerized Algorithm-guided Versus Nurse-directed Blood Glucose Control in Critically Ill Patients), which is not on this map. Cited by 24 papers.
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.
LOGIC-Insulin Computerized Algorithm-guided Versus Nurse-directed Blood Glucose Control in Critically Ill Patients: the LOGIC-2 Multicentre Randomized Controlled Trial
Who cites it
24 citing papers in PubMed, 68 citations in OpenAlex.
- Trial
- A digital twin for tracking and forecasting glycemia with septic patients in ICUs.npj metabolic health and disease · 2026Article
- Individualising blood glucose control in ICU patients: evidence and practical implementations.Critical care (London, England) · 2026Review
- Diabetes Management Strategies in Intensive Care Settings.The Medical clinics of North America · 2026Review
- Navigating Clinical Efficacy and Legal Boundaries: Implications of Nurse-Led Glycemic Management in Critical Care.Healthcare (Basel, Switzerland) · 2025Article
- Equity of participants in clinical trials in critical care and perioperative medicine research: a systematic review.BJA open · 2025Review
- Toward Automation: The Road Traveled and Road Ahead for Integrating Automated Insulin Delivery into Inpatient Care.Diabetes technology & therapeutics · 2025Review
- Artificial intelligence and pediatric acute kidney injury: a mini-review and white paper.Frontiers in nephrology · 2025Review
- Managing blood glucose control in the intensive care unit.Intensive care medicine · 2024Article
- What, why and how to monitor blood glucose in critically ill patients.World journal of diabetes · 2023Review
- Article
- Estimating Increased EGP During Stress Response in Critically Ill Patients.Journal of diabetes science and technology · 2021Article
- Usability study of a new tool for nutritional and glycemic management in adult intensive care: Glucosafe 2.Journal of clinical monitoring and computing · 2021Article
- Fifteen-minute Frequency of Glucose Measurements and the Use of Threshold Alarms: Impact on Mitigating Dysglycemia in Critically Ill Patients.Journal of diabetes science and technology · 2021Article
- Insulin sensitivity in critically ill patients: are women more insulin resistant?Annals of intensive care · 2021Article
- Risk-Based Care: Let's Think Outside the Box.Frontiers in medicine · 2021Article
- Accuracy of Blood Glucose Measurement and Blood Glucose Targets.Journal of diabetes science and technology · 2020Review
- Glucose control in the ICU.Current opinion in anaesthesiology · 2019Review
- Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas.Critical care (London, England) · 2018Review
- Hypoglycemia Prevention by Algorithm Design During Intravenous Insulin Infusion.Current diabetes reports · 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
14 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBlood glucose control in the intensive care unit (ICU) has the potential to save lives. However, maintaining blood glucose concentrations within a chosen target range is difficult in clinical practice and holds risk of potentially harmful hypoglycemia. Clinically validated computer algorithms to guide insulin dosing by nurses have been advocated for better and safer blood glucose control.
methodsWe conducted an international, multicenter, randomized controlled trial involving 1550 adult, medical and surgical critically ill patients, requiring blood glucose control. Patients were randomly assigned to algorithm-guided blood glucose control (LOGIC-C, n = 777) or blood glucose control by trained nurses (Nurse-C, n = 773) during ICU stay, according to the local target range (80-110 mg/dL or 90-145 mg/dL). The primary outcome measure was the quality of blood glucose control, assessed by the glycemic penalty index (GPI), a measure that penalizes hypoglycemic and hyperglycemic deviations from the chosen target range. Incidence of severe hypoglycemia (<40 mg/dL) was the main safety outcome measure. New infections in ICU, duration of hospital stay, landmark 90-day mortality and quality of life were clinical safety outcome measures.
resultsThe median GPI was lower in the LOGIC-C (10.8 IQR 6.2-16.1) than in the Nurse-C group (17.1 IQR 10.6-26.2) (P < 0.001). Mean blood glucose was 111 mg/dL (SD 15) in LOCIC-C versus 119 mg/dL (SD 21) in Nurse-C, whereas the median time-in-target range was 67.0% (IQR 52.1-80.1) in LOGIC-C versus 47.1% (IQR 28.1-65.0) in the Nurse-C group (both P < 0.001). The fraction of patients with severe hypoglycemia did not differ between LOGIC-C (0.9%) and Nurse-C (1.2%) (P = 0.6). The clinical safety outcomes did not differ between groups. The sampling interval was 2.3 h (SD 0.5) in the LOGIC-C group versus 3.0 h (SD 0.8) in the Nurse-C group (P < 0.001).
conclusionsIn a randomized controlled trial of a mixed critically ill patient population, the use of the LOGIC-Insulin blood glucose control algorithm, compared with blood glucose control by expert nurses, improved the quality of blood glucose control without increasing hypoglycemia.
trial registrationClinicalTrials.gov, NCT02056353 . Registered on 4 February 2014.
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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.