Evidence map›Paper›PMID 25676120›Full record

ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2015

Continuous glucose monitoring on the ICU using a subcutaneous sensor.

M A Punke, C Decker, K Wodack, D A Reuter, S Kluge

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Guideline
  2. Accuracy of continuous glucose monitoring in critically ill patients.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
    Article
  3. Continuous Glucose Monitoring in the Hospital.Endocrinology and metabolism (Seoul, Korea) · 2021
    Review
  4. Article
  5. Glucose Management Technologies for the Critically Ill.Journal of diabetes science and technology · 2019
    Review
  6. Review
  7. Consensus Statement on Inpatient Use of Continuous Glucose Monitoring.Journal of diabetes science and technology · 2017
    Article
  8. Article
  9. Article
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

5 authors at 2 institutions in 1 country.

M A PunkeDepartment of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, Hamburg-Eppendorf University Medical Center, Martinistr. 52, 20246, Hamburg, Germany, punke@uke.de.
C Decker
K Wodack
D A Reuter
S Kluge
University Medical Center Hamburg-Eppendorf · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypoglycemia is a frequent and feared complication of insulin therapy on the intensive care unit (ICU). Sedated patients in particular are at risk for hypoglycemia due to the absence of clinical symptoms. Furthermore, recent studies point to a correlation between the variability of blood glucose and mortality. Therefore, continuous glucose monitoring has the potential to influence outcome due to a better control of blood glucose in critically ill patients. MATERIALS AND

methodsWe evaluated the efficacy, accuracy and safety of a new commercially available subcutaneous continuous glucose monitoring system (sCGM; Sentrino®, Medtronic) in a pilot study in critically ill adult patients. sCGM data were recorded for up to 72 h and values were compared with blood glucose values measured by cassette-based blood gas analyzer (BGA).

resultsA total of 14 patients (eight male, six female), with a mean age of 62.1 ± 9.8 years, referred to the ICU after major abdominal surgery were studied. The average simplified acute physiology score (SAPS II) was 35 ± 9. Three patients had known type II diabetes. The average runtime of sensors was 44.1 ± 22.1 h. In comparison to BGA, measurement of blood glucose by sCGM revealed an accuracy of 1.5 mg/dl, and a precision of +34.2 mg/dl to -31.2 mg/dl. Linn's concordance correlation coefficient yielded 0.74 with a 95% confidence interval of 0.68-0.78. No hypoglycemic events, defined as a blood glucose level below 70 mg/dl, occurred during treatment.

conclusionssCGM monitoring via a subcutaneous sensor demonstrated high accuracy and considerable variability compared to blood gas samples, even in critically ill patients.

Indexed as

Intensive Care Units, PediatricAgedBlood GlucoseEquipment DesignFemaleHumansHypoglycemiaInsulinMaleMiddle AgedMonitoring, PhysiologicPilot ProjectsPostoperative CareReproducibility of ResultsRisk FactorsSubcutaneous TissueBlood GlucoseInsulin

Identifiers

PMID25676120
OpenAlexW1941026301

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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 OpenQuestion graph.