Evidence map›Paper›PMID 21175266›Full record

ArticleDiabetes technology & therapeutics2011

Hypoglycemia risk and glucose variability indices derived from routine self-monitoring of blood glucose are related to laboratory measures of insulin sensitivity and epinephrine counterregulation.

Achilleas N Pitsillides, Stacey M Anderson, Boris Kovatchev

Registry-linked trialAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00943787 (Counter-regulatory Impairment and the Effect of Microvascular Insulin Transfer in Type 1 Diabetes Mellitus), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.2field-weighted citation impact, top 43% 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.

NCT00943787 nacompletednot on this map

Counter-regulatory Impairment and the Effect of Microvascular Insulin Transfer in Type 1 Diabetes Mellitus

TypeinterventionalSponsorUniversity of VirginiaRan2006 to 2009Enrolled41ConditionsDiabetes Mellitus, Type 1ArmsHyperinsulinemic, euglycemic and hypoglycemic clamp
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Are Risk Indices Derived From CGM Interchangeable With SMBG-Based Indices?Journal of diabetes science and technology · 2015
    Article
  6. Review
  7. Article
  8. Article
  9. 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

3 authors at 1 institution in 1 country.

Achilleas N PitsillidesDepartment of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, Virginia 22904, USA.
Stacey M Anderson
Boris Kovatchev
University of Virginia · US

Funding

Personalized Fully-Automated Regulation and Co-Regulation of Type 1 Diabetes: A Foundation Biobehavioral ApproachR01DK085623 · NIDDK · UNIVERSITY OF VIRGINIA · PI SUE A BROWN, BORIS P KOVATCHEV · 2009 to 2026
$10.6M
Improving intensive insulin therapy through the personalization of data-driven decision support system to patients’ goals and preferences and its adaptation to long term health needsR01DK051562 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI MARC D BRETON, Chiara Fabris · 1996 to 2026
$9.4M
NIDDK NIH HHS R01 DK 085623NIDDK NIH HHS R01 DK085623NIDDK NIH HHS R01 DK 51562
6 · The paper itself

Abstract

backgroundthe widely held assumptions that in type 1 diabetes glucose variability may correlate with insulin sensitivity and impaired epinephrine counterregulation have not been studied directly. Here we investigate possible relationships between outpatient measures of glucose variability and risk for hypoglycemia with physiological characteristics: insulin sensitivity and hypoglycemia counterregulation.

methodsthirty-four subjects with type 1 diabetes (14 women, 20 men; 37 ± 2.1 years old; glycosylated hemoglobin [HbA1c], 7.6  ±  0.21%) performed self-monitoring of blood glucose (SMBG) for a month, followed by an inpatient hyperinsulinemic euglycemic and hypoglycemic clamp. SMBG field data were used to calculate measures of glucose variability and risk of hypoglycemia, while the clamp procedure was used to evaluate insulin sensitivity and epinephrine response during induced hypoglycemia. Spearman partial correlations adjusted for age, duration of diabetes, body mass index, gender, and HbA1c were used to assess the relationship between the field indices of glucose variability and the physiological characteristics of diabetes.

resultstwo glucose variability measures correlated positively (P < 0.01) with insulin sensitivity: the Average Daily Risk Range (ADRR) (ρ = 0.5) and the Glycemic Lability Index (ρ = 0.48). The Low Blood Glucose Index, a measure of the risk for hypoglycemia, and the ADRR correlated negatively with maximum epinephrine response during hypoglycemia: ρ = -0.46, P < 0.01 and ρ = -0.4, P = 0.03, respectively.

conclusionshigher insulin sensitivity and lower epinephrine response during hypoglycemia are related to increased glucose variability (as quantified by the ADRR), irrespective of HbA1c and other patient characteristics. Lower epinephrine relates to risk for hypoglycemia as well.

Indexed as

AdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1EpinephrineFemaleGlucose Clamp TechniqueHumansHypoglycemiaInsulin ResistanceMaleMiddle AgedStatistics, NonparametricYoung AdultBlood GlucoseEpinephrine

Identifiers

PMID21175266
PMCPMC3025766
OpenAlexW2000321355

What OpenQuestion holds

Textmetadata
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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.