Evidence map›Paper›PMID 23171831›Full record

ArticleCritical care (London, England)2012

Glycemic variability is complex--is glucose complexity variable?

Roosmarijn T M van Hooijdonk, Ameen Abu-Hanna, Marcus J Schultz

Abstract readComment
In one paragraph

Article in Critical care (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. Review
  6. [Investigation of the glucose dynamics with an approach of refined composite multi-scale entropy analysis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Roosmarijn T M van Hooijdonk
Ameen Abu-Hanna
Marcus J Schultz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observational studies show an independent association between increased glycemic variability and higher mortality in critically ill patients. Minimization of glycemic variability is therefore suggested as a new target of glycemic control, which may require very frequent or almost continuous monitoring of glucose levels. Brunner and colleagues show the use of real-time subcutaneous continuous glucose monitoring does not decrease glycemic variability. Continuous glucose monitoring, however, may reveal changes in glucose complexity, which may be of interest since both increased and decreased glucose complexity is associated with higher mortality in the critically ill.

Indexed as

Blood GlucoseComputer SystemsCritical IllnessFemaleGlycemic IndexHumansMaleStatistics as TopicBlood Glucose

Identifiers

PMID23171831
PMCPMC3672583

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.