Evidence map›Paper›PMID 23567009›Full record

ReviewJournal of diabetes science and technology2013

Continuous glucose monitoring: evidence and consensus statement for clinical use.

Andreas Liebl, Helmut R Henrichs, Lutz Heinemann, Guido Freckmann, Eberhard Biermann, Andreas Thomas, Continuous Glucose Monitoring Working Group of the Working Group Diabetes Technology of the German Diabetes Association

Abstract readReviewConsensus Statement
In one paragraph

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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. A machine-learning approach to predict postprandial hypoglycemia.BMC medical informatics and decision making · 2019
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Continuous Glucose Monitoring: A Perspective on Its Past, Present, and Future Applications for Diabetes Management.Clinical diabetes : a publication of the American Diabetes Association · 2017
    Article
  16. Observational
  17. Article
  18. Article
  19. Technology to Reduce Hypoglycemia.Journal of diabetes science and technology · 2015
    Review
  20. 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

7 authors.

Andreas Lieblm&i-Fachklinik Bad Heilbrunn, Diabetes Center, Department of Internal Medicine, Wörnerweg 30, 83670 Bad Heilbrunn, Germany. andreas.liebl@fachklinik-bad-heilbrunn.de
Helmut R Henrichs
Lutz Heinemann
Guido Freckmann
Eberhard Biermann
Andreas Thomas
Continuous Glucose Monitoring Working Group of the Working Group Diabetes Technology of the German Diabetes Association

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) is an essential tool for modern diabetes therapy. Randomized controlled studies have provided evidence that hemoglobin A1c (HbA1c) results can be improved in patients with type 1 diabetes with elevated baseline HbA1c when using CGM frequently enough and that the frequency and duration of hypoglycemic events can be reduced in patients with satisfactory baseline HbA1c. The CGM group within the Working Group Diabetes Technology (AGDT) of the German Diabetes Association (DDG) has defined evidence-based indications for the practical use of CGM in this consensus statement related to hypoglycemia (frequent, severe, or nocturnal) or hypoglycemia unawareness, insufficient metabolic control despite use of all possible therapeutic options and patient compliance, pregnancy associated with inadequate blood glucose results, and the need for more than 10 blood glucose measurements per day. Contraindications and defined preconditions for the successful use of CGM should be considered.

Indexed as

ConsensusEvidence-Based PracticeBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansMonitoring, PhysiologicPregnancyBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID23567009
PMCPMC3737652

What OpenQuestion holds

Textmetadata
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.