Evidence map›Paper›PMID 30071851›Full record

ReviewCritical care (London, England)2018

Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas.

J Geoffrey Chase, Thomas Desaive, Julien Bohe, Miriam Cnop, Christophe De Block, Jan Gunst, Roman Hovorka, Pierre Kalfon, James Krinsley, Eric Renard and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Critical care (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Diabetes Management Strategies in Intensive Care Settings.The Medical clinics of North America · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Algorithm Maxima for Intravenous Insulin Infusion.Diabetes technology & therapeutics · 2020
    Article
  11. Review
  12. Accuracy of Blood Glucose Measurement and Blood Glucose Targets.Journal of diabetes science and technology · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Glucose control in the ICU.Current opinion in anaesthesiology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 10 institutions in 5 countries.

J Geoffrey ChaseDepartment of Mechanical Engineering, Centre for Bio-Engineering, University of Canterbury, Christchurch, New Zealand.
Thomas DesaiveGIGA In-Silico Medicine, University of Liège, Liège, Belgium.
Julien BoheMedical Intensive Care Unit, Lyon-Sud University Hospital, Pierre-Bénite, France.
Miriam CnopULB Center for Diabetes Research, and Division of Endocrinology, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Christophe De BlockDepartment of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, Edegem, Belgium.
Jan GunstClinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
Roman HovorkaUniversity of Cambridge Metabolic Research Laboratories, Level 4, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK.
Pierre KalfonService de Réanimation polyvalente, Hôpital Louis Pasteur, CH de Chartres, Chartres, France.
James KrinsleyDivision of Critical Care, Department of Medicine, Stamford Hospital, Columbia University College of Physicians and Surgeons, Stamford, CT, USA.
Eric RenardDepartment of Endocrinology, Diabetes, Nutrition, and Institute of Functional Genomics, CNRS, INSERM, Montpellier University Hospital, University of Montpellier, Montpellier, France.
Jean-Charles PreiserDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, route de Lennik 808, 1070, Brussels, Belgium. Jean-Charles.Preiser@erasme.ulb.ac.be.
Université Libre de Bruxelles · BEAntwerp University Hospital · BECentre National de la Recherche Scientifique · FRColumbia University · USHôpital Lyon Sud · FRKU Leuven · BELes Hôpitaux de Chartres · FRUniversity of Cambridge · GBUniversity of Canterbury · NZUniversity of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is considerable physiological and clinical evidence of harm and increased risk of death associated with dysglycemia in critical care. However, glycemic control (GC) currently leads to increased hypoglycemia, independently associated with a greater risk of death. Indeed, recent evidence suggests GC is difficult to safely and effectively achieve for all patients. In this review, leading experts in the field discuss this evidence and relevant data in diabetology, including the artificial pancreas, and suggest how safe, effective GC can be achieved in critically ill patients in ways seeking to mimic normal islet cell function. The review is structured around the specific clinical hurdles of: understanding the patient's metabolic state; designing GC to fit clinical practice, safety, efficacy, and workload; and the need for standardized metrics. These aspects are addressed by reviewing relevant recent advances in science and technology. Finally, we provide a set of concise recommendations to advance the safety, quality, consistency, and clinical uptake of GC in critical care. This review thus presents a roadmap toward better, more personalized metabolic care and improved patient outcomes.

Indexed as

Critical IllnessGlycemic LoadHumansHyperglycemiaHypoglycemiaIslets of LangerhansMetabolismArtificial pancreasEndocrine functionGlycemic controlIn silicoModel basedModelingReviewValidationVirtual patient

Identifiers

PMID30071851
PMCPMC6091026
OpenAlexW2886086984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.