Evidence map›Paper›PMID 22524549›Full record

ArticleDiabetes technology & therapeutics2012

Effects of sensor-augmented pump therapy on glycemic variability in well-controlled type 1 diabetes in the STAR 3 study.

John B Buse, Yogish C Kudva, Tadej Battelino, Stephen N Davis, John Shin, John B Welsh

Open access · greenAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Guideline
  2. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Glycemic variability predicts inflammation in adolescents with type 1 diabetes.Journal of pediatric endocrinology & metabolism : JPEM · 2016
    Article
  10. Review
  11. Review
  12. Review
  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 5 institutions in 6 countries.

John B BuseUniversity of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Yogish C Kudva
Tadej Battelino
Stephen N Davis
John Shin
John B Welsh
Medtronic (Ireland) · IELjubljana University Medical Centre · SIMayo Clinic · USUniversity of Maryland, Baltimore · USUniversity of North Carolina at Chapel Hill · US

Funding

JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WONDISFORD, FREDRIC E. · 2013 to 2017
$9.7M
NIDDK NIH HHS P30 DK079637
6 · The paper itself

Abstract

backgroundCompared with multiple daily injections (MDI), sensor-augmented pump (SAP) insulin therapy may reduce glycemic variability and oxidative stress in type 1 diabetes in a glycosylated hemoglobin (A1C)-independent manner. SUBJECTS AND

methodsThe STAR 3 study compared SAP with MDI therapy for 1 year. Week-long continuous glucose monitoring studies were conducted at baseline and 1 year for assessment of glycemic variability in both groups. Soluble CD40 ligand (CD40L), a biomarker of inflammation and thrombocyte function, was measured at baseline and 1 year. Subjects were classified according to treatment group and 1-year A1C levels (<6.5%, 6.5-6.9%, 7-7.9%, ≥8%). Glycemic parameters were compared between SAP and MDI subjects in each A1C cohort.

resultsAt 1 year, sensor glucose values at A1C levels ≥6.5% were similar in the SAP and MDI groups. However, sensor glucose SD and coefficient of variation (CV) values were lower at A1C levels <8% among SAP than among MDI subjects; the overall between-group difference was significant for both SD (P<0.01) and CV (P=0.01). The overall mean amplitude of glycemic excursion was similar in MDI and SAP groups (P=0.23). CD40L levels fell over the course of the study in both groups, but the between-group difference was not significant (P=0.18). CD40L concentrations were unrelated to A1C, change in A1C from baseline, or glycemic variability.

conclusionsAt comparable A1C levels of <8%, SAP reduced glycemic variability as measured by SD and CV compared with MDI. SAP may provide beneficial reductions in the number and severity of glycemic excursions.

Indexed as

Infusion Pumps, ImplantableInsulin Infusion SystemsAdolescentAdultAgedBlood GlucoseBody Mass IndexChildCohort StudiesDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansHypoglycemic AgentsInjections, SubcutaneousInsulinBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin

Identifiers

PMID22524549
PMCPMC4696421
OpenAlexW2066309841

What Socratic 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 Socratic graph.