Evidence map›Paper›PMID 20007948›Full record

Trial reportDiabetes care2010

Real-time continuous glucose monitoring in critically ill patients: a prospective randomized trial.

Ulrike Holzinger, Joanna Warszawska, Reinhard Kitzberger, Marlene Wewalka, Wolfgang Miehsler, Harald Herkner, Christian Madl

2 registry-linked trialsOpen access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 105 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 2 pooled it
9.0field-weighted citation impact, top 1% 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.

NCT01799512 nacompletednot on this map

Randomized Evaluation of Glycaemic Control in the Medical Intensive Care Unit Using Continuous Glucose Monitoring (REGIMEN Trial)

TypeinterventionalSponsorUniversity Hospital, AntwerpRan2007 to 2013Enrolled35ConditionsCritical IllnessArmsexperimental: real-time continuous glucose monitoring, Active comparator: blinded continuous glucose monitoring
NCT07769138 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Implementation of Networked Continuous Glucose Monitoring With Telemetry Within the Intensive Care Unit (ICU-TeleCGM)

TypeobservationalSponsorImperial College Healthcare NHS TrustRan2026 to 2028Enrolled70ConditionsType 1 Diabetes, Type 2 Diabetes Treated With Insulin, Hyperglycemia, Intensive Care (ICU)ArmsDexcom G7, ViewsEMR telemetry
3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 2 syntheses or guidelines pooled it, 200 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Insulin-Based Infusion System: Advancing the Development.Journal of diabetes science and technology · 2019
    Trial
  4. Targeting glucose control in preterm infants: pilot studies of continuous glucose monitoring.Archives of disease in childhood. Fetal and neonatal edition · 2019
    Trial
  5. Trial
  6. Trial
  7. Blood Glucose Levels of Subelite Athletes During 6 Days of Free Living.Journal of diabetes science and technology · 2016
    Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Value of continuous glucose monitoring for minimizing severe hypoglycemia during tight glycemic control.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2011
    Trial
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Observational
  20. Article

45 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Ulrike HolzingerDepartment of Medicine III, Intensive Care Unit, Medical University of Vienna, Vienna, Austria. ulrike.holzinger@meduniwien.ac.at
Joanna Warszawska
Reinhard Kitzberger
Marlene Wewalka
Wolfgang Miehsler
Harald Herkner
Christian Madl
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE To evaluate the impact of real-time continuous glucose monitoring (CGM) on glycemic control and risk of hypoglycemia in critically ill patients. RESEARCH DESIGN AND METHODS A total 124 patients receiving mechanical ventilation were randomly assigned to the real-time CGM group (n = 63; glucose values given every 5 min) or to the control group (n = 61; selective arterial glucose measurements according to an algorithm; simultaneously blinded CGM) for 72 h. Insulin infusion rates were guided according to the same algorithm in both groups. The primary end point was percentage of time at a glucose level <110 mg/dl. Secondary end points were mean glucose levels and rate of severe hypoglycemia (<40 mg/dl). RESULTS Percentage of time at a glucose level <110 mg/dl (59.0 +/- 20 vs. 55.0 +/- 18% in the control group, P = 0.245) and the mean glucose level (106 +/- 18 vs. 111 +/- 10 mg/dl in the control group, P = 0.076) could not be improved using real-time CGM. The rate of severe hypoglycemia was lower in the real-time CGM group (1.6 vs. 11.5% in the control group, P = 0.031). CGM reduced the absolute risk of severe hypoglycemia by 9.9% (95% CI 1.2-18.6) with a number needed to treat of 10.1 (95% CI 5.4-83.3). CONCLUSIONS In critically ill patients, real-time CGM reduces hypoglycemic events but does not improve glycemic control compared with intensive insulin therapy guided by an algorithm.

Indexed as

Computer SystemsAdultAgedAlgorithmsBlood GlucoseCritical IllnessFemaleHumansHypoglycemiaMaleMiddle AgedMonitoring, PhysiologicRespiration, ArtificialRiskBlood Glucose

Identifiers

PMID20007948
PMCPMC2827490
OpenAlexW2143623075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.