Evidence map›Paper›PMID 18818862›Full record

ArticleActa diabetologica2009

Glycaemic variability and inflammation in subjects with metabolic syndrome.

Silvio Buscemi, Salvatore Verga, Santina Cottone, Vitalba Azzolina, Barbara Buscemi, Diana Gioia, Giovanni Cerasola

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Acta diabetologica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01524705 (FLAT-SUGAR), which is not on this map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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.

NCT01524705 phase4completedstarted 2012, after this paper: background citation

FLAT-SUGAR: FLuctuATion Reduction With inSULin and Glp-1 Added togetheR

Ran2012Enrolled102Registered outcomes4Posted comparisons3ConditionsType 2 DiabetesArmsexenatide, Insulin glargine, Metformin, Prandial insulin
Open the trial in the graph
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The effects of kratomFrontiers in pharmacology · 2025
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Review
  8. Article
  9. Article
  10. Glucose Variability: How Does It Work?International journal of molecular sciences · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Management of hyperglycemia in hospitalized patients.Annals of the New York Academy of Sciences · 2010
    Review
  19. 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

7 authors.

Silvio BuscemiDipartimento di Medicina Interna, Malattie Cardiovascolari e NefroUrologiche, Facoltà di Medicina, Università di Palermo, Policlinico P. Giaccone, Via del Vespro, 129, 90127 Palermo, Italy. silbus@tin.it
Salvatore Verga
Santina Cottone
Vitalba Azzolina
Barbara Buscemi
Diana Gioia
Giovanni Cerasola

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subjects who develop diabetes have an increased cardiovascular risk even before the appearance of diabetes. The aim of this study was to investigate the glycaemic variability measured by continuous glucose monitoring (CGM CV%) in nondiabetic subjects with metabolic syndrome (MS) and to explore if glycaemic variability was associated with circulating levels of interleukin-6 (IL-6), a proinflammatory cytokine, or with an anti-inflammatory factor like adiponectin. Three groups of obese subjects with (MS+: 6m, 8f; BMI 33.1+/-1.4 mean+/-SEM) or without metabolic syndrome (MS-: 2m, 4f; BMI 29.2+/-2.2) and with MS associated with type 2 diabetes (MS/T2D: 3m, 5f; BMI 32.9+/-1.4) were investigated. The glycaemic variability was measured in all subjects in terms of CV% of the glycaemic values obtained every 3 min during the course of a 48 h CGM performed using a subcutaneous glucose sensor. The average CGM CV% increased from MS- group (21.1%) to the MS+ group (23.9%) and to the MS+/T2D group (27.4%) but it was not correlated to the CGM mean glycaemia (r=0.20; P=ns). In some instances, CGM CV% was found higher in MS+ subjects than in some MS+ T2D ones. Stepwise multiple correlation analysis showed that IL-6 predicted CGM CV% (R(2)=0.35, beta=0.13; P<0.05) independently from BMI, waist circumference, adiponectin and insulin concentrations. In conclusion, the CGM CV% may contribute to better describe the individual metabolic state and to understand the pathogenesis of endothelial dysfunction in non diabetic subjects with MS.

Indexed as

AdultBlood GlucoseBody Mass IndexFemaleHumansMaleMetabolic SyndromeMonitoring, AmbulatoryObesityReproducibility of ResultsWaist CircumferenceBlood Glucose

Identifiers

What OpenQuestion holds

Textmetadata
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.