ReviewJournal of diabetes science and technology2013
The future is now: software-guided intensive insulin therapy in the critically ill.
Review in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 19 citations in OpenAlex.
- Software-guided versus nurse-directed blood glucose control in critically ill patients: the LOGIC-2 multicenter randomized controlled clinical trial.Critical care (London, England) · 2017Trial
- A Retrospective Cohort Analysis of Two Computerized Insulin Infusion Protocols.Journal of diabetes science and technology · 2023Article
- Improving Hospital Glucometrics, Workflow, and Outcomes with a Computerized Intravenous Insulin Dose Calculator Built into the Electronic Health Record.Journal of diabetes science and technology · 2021Article
- Diabetes Technology in the Inpatient Setting for Management of Hyperglycemia.Endocrinology and metabolism clinics of North America · 2020Review
- Hypoglycemia Prevention by Algorithm Design During Intravenous Insulin Infusion.Current diabetes reports · 2018Review
- Admission hyperglycemia in sepsis is associated with poor outcomes: where do we go from here?Journal of thoracic disease · 2016Article
- Continuous Glucose Monitoring in Patients Undergoing Extracorporeal Ventricular Assist Therapy.PloS one · 2016Article
- Insulin IP Calc: A smartphone application for insulin infusion protocol in Intensive Care Units.Indian journal of anaesthesia · 2015Article
- Population-Specific Models of Glycemic Control in Intensive Care: Towards a Simulation-Based Methodology for Protocol Optimization.Proceedings of the ... American Control Conference. American Control Conference · 2015Article
- Improvement in inpatient glycemic care: pathways to quality.Current diabetes reports · 2015Review
- Continuous glucose control in the ICU: report of a 2013 round table meeting.Critical care (London, England) · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the development of intensive insulin therapy for the critically ill adult, tight glycemic control (TGC) has become increasingly complicated to apply and achieve. Software-guided (SG) algorithms for insulin dosing represent a new method to achieve euglycemia in critical illness. We provide an overview of the state of SG TGC with an eye to the future. The current milieu is disorganized, with little research that incorporates newer variables of dysglycemia, such as glycemic variability. To develop and implement better algorithms, scientists, programmers, and clinicians need to standardize measurements and variables.
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.