Evidence map›Paper›PMID 26963806›Full record

ArticlePloS one2016

Continuous Glucose Monitoring in Patients Undergoing Extracorporeal Ventricular Assist Therapy.

Antje Gottschalk, Henryk A Welp, Laura Leser, Christian Lanckohr, Carola Wempe, Björn Ellger

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Observational
  4. Review
  5. Continuous Glucose Monitoring in the Hospital.Endocrinology and metabolism (Seoul, Korea) · 2021
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Consensus Statement on Inpatient Use of Continuous Glucose Monitoring.Journal of diabetes science and technology · 2017
    Article
  12. Article
  13. 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

6 authors at 1 institution in 1 country.

Antje GottschalkDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
Henryk A WelpDepartment of Cardiothoracic Surgery, Division of Cardiac Surgery, University Hospital Münster, Münster, Germany.
Laura LeserDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
Christian LanckohrDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
Carola WempeDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
Björn EllgerDepartment of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Münster, Germany.
University Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDysregulations of blood glucose (BG) are associated with adverse outcome in critical illness; controlling BG to target appears to improve outcome. Since BG-control is challenging in daily intensive care practice BG-control remains poor especially in patients with rapidly fluctuating BG. To improve BG-control and to avoid deleterious hypoglycemia, automated online-measurement tools are advocated. We thus evaluated the point-accuracy of the subcutaneous Sentrino® Continuous Glucose Monitoring System (CGM, Medtronic Diabetes, Northridge, California) in patients undergoing extracorporeal cardiac life support (ECLS) for cardiogenic shock.

methodsManagement of BG was performed according to institute's standard aiming at BG-levels between 100-145 mg/dl. CGM-values were recorded without taking measures into therapeutic account. Point-accuracy in comparison to intermittent BG-measurement by the ABL-blood-gas analyzer was determined.

resultsCGM (n = 25 patients) correlated significantly with ABL-values (r = 0.733, p<0.001). Mean error from standard was 15.0 mg/dl (11.9%). 44.2% of the readings were outside a 15% range around ABL-values. In one of 635 paired data-points, ABL revealed hypoglycemia (BG 32 mg/dl) whereas CGM did not show hypoglycemic values (132mg/dl).

conclusionsCGM reveals minimally invasive BG-values in critically ill adults with dynamically impaired tissue perfusion. Because of potential deviations from standard, CGM-readings must be interpreted with caution in specific ICU-populations.

Indexed as

Blood Glucose Self-MonitoringHeart-Assist DevicesAgedDemographyFemaleHumansMaleMiddle AgedRegression Analysis

Identifiers

PMID26963806
PMCPMC4786282
OpenAlexW2302057596

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.