| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1006937443 |
| P356 | DOI | 10.1186/2110-5820-1-38 |
| P932 | PMC publication ID | 3224394 |
| P698 | PubMed publication ID | 21929821 |
| P5875 | ResearchGate publication ID | 51654131 |
| P50 | author | Thomas Desaive | Q93198455 |
| Geoff Chase | Q58880502 | ||
| Christopher Grant Pretty | Q37838254 | ||
| P2093 | author name string | Matthew Signal | |
| Geoffrey M Shaw | |||
| Aaron Le Compte | |||
| Sophie Penning | |||
| Alicia Evans | |||
| Logan Ward | |||
| James Steel | |||
| Fatanah Suhaimi | |||
| Chia-Siong Tan | |||
| Leesa Pfeifer | |||
| P2860 | cites work | Glycemic control needs a standard reference point | Q83820419 |
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| Caloric intake in medical ICU patients: consistency of care with guidelines and relationship to clinical outcomes | Q51664053 | ||
| Evaluation of nursing work effort and perceptions about blood glucose testing in tight glycemic control | Q79844946 | ||
| Analysis of healthcare resource utilization with intensive insulin therapy in critically ill patients | Q82748991 | ||
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| What makes tight glycemic control tight? The impact of variability and nutrition in two clinical studies | Q33828220 | ||
| Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview | Q33860081 | ||
| Organ failure and tight glycemic control in the SPRINT study. | Q34153360 | ||
| Alterations in fuel metabolism in critical illness: hyperglycaemia | Q34500426 | ||
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| Validation of a model-based virtual trials method for tight glycemic control in intensive care. | Q35575260 | ||
| A human factors engineering conceptual framework of nursing workload and patient safety in intensive care units | Q36266913 | ||
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| Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples | Q37626462 | ||
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| A physiological Intensive Control Insulin-Nutrition-Glucose (ICING) model validated in critically ill patients | Q37834751 | ||
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| Blood glucose controller for neonatal intensive care: virtual trials development and first clinical trials | Q42599393 | ||
| Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes | Q43913786 | ||
| Effect of an intensive glucose management protocol on the mortality of critically ill adult patients | Q44447425 | ||
| Glucose Control and Mortality in Critically Ill Patients | Q44618337 | ||
| Association between hyperglycemia and increased hospital mortality in a heterogeneous population of critically ill patients | Q44684106 | ||
| Adaptive bolus-based targeted glucose regulation of hyperglycaemia in critical care | Q45190057 | ||
| Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system model | Q45274835 | ||
| A prospective randomised multi-centre controlled trial on tight glucose control by intensive insulin therapy in adult intensive care units: the Glucontrol study. | Q45918212 | ||
| Intensive versus conventional glucose control in critically ill patients | Q46076336 | ||
| Tight glycemic control in critically ill adults | Q46410521 | ||
| Targeted glycemic reduction in critical care using closed-loop control | Q46460195 | ||
| Tight glycaemic control: a survey of intensive care practice in large English hospitals | Q46624996 | ||
| Tight glucose control and hypoglycemia | Q46671954 | ||
| Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study | Q46847623 | ||
| Model-based insulin and nutrition administration for tight glycaemic control in critical care. | Q46917026 | ||
| Tight glycaemic control: a survey of intensive care practice in the Netherlands | Q46963585 | ||
| Cost analysis of intensive glycemic control in critically ill adult patients | Q46990703 | ||
| P304 | page(s) | 38 | |
| P577 | publication date | 2011-09-19 | |
| P1433 | published in | Annals of Intensive Care | Q18712109 |
| P1476 | title | Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control | |
| P478 | volume | 1 |
| Q36535933 | A C-Peptide-Based Model of Pancreatic Insulin Secretion in Extremely Preterm Neonates in Intensive Care |
| Q47380919 | Continuous Glucose Monitoring Measures Can Be Used for Glycemic Control in the ICU: An In-Silico Study |
| Q34527998 | Evolution of insulin sensitivity and its variability in out-of-hospital cardiac arrest (OHCA) patients treated with hypothermia |
| Q51734193 | Hypoglycemia Prevention by Algorithm Design During Intravenous Insulin Infusion |
| Q57663772 | Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas |
| Q64890004 | Model-based glycemic control in a Malaysian intensive care unit: performance and safety study. |
| Q49796040 | Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them. |
| Q48250698 | Nutrition delivery of a model-based ICU glycaemic control system |
| Q38126241 | On the Problem of Patient-Specific Endogenous Glucose Production in Neonates on Stochastic Targeted Glycemic Control |
| Q36605843 | Pilot Study of the SPRINT Glycemic Control Protocol in a Hungarian Medical Intensive Care Unit |
| Q33581512 | Reducing the impact of insulin sensitivity variability on glycaemic outcomes using separate stochastic models within the STAR glycaemic protocol |
| Q36437298 | Second pilot trials of the STAR-Liege protocol for tight glycemic control in critically ill patients |
| Q26864579 | The Future is Now: Software-Guided Intensive Insulin Therapy in the Critically Ill |
| Q28081397 | The benefits of tight glycemic control in critical illness: Sweeter than assumed? |
| Q33830336 | Untangling glycaemia and mortality in critical care |
| Q41975146 | Variability of insulin sensitivity during the first 4 days of critical illness: implications for tight glycemic control |
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