Evidence mapPaperPMID 21714681Full record

ArticleDiabetes technology & therapeutics2011

Normal reference range for mean tissue glucose and glycemic variability derived from continuous glucose monitoring for subjects without diabetes in different ethnic groups.

Nathan R Hill, Nick S Oliver, Pratik Choudhary, Jonathan C Levy, Peter Hindmarsh, David R Matthews

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 NCT02925559 (Effect of Anti-diabetic Drugs on Glycemic Variability. A Comparison Between Gliclazide MR), which is not on this map. Cited by 170 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 4 pooled it
8.2field-weighted citation impact, top 2% 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.

NCT02925559 phase4completedstarted 2016, after this paper: background citation

Effect of Anti-diabetic Drugs on Glycemic Variability. A Comparison Between Gliclazide MR (Modified Release) and Dapagliflozin on Glycemic Variability Measured by Continuous Glucose Monitoring (CGM) in Patients With Uncontrolled Type 2 Diabetes

Ran2016Enrolled135Registered outcomes9Posted comparisons0ConditionsDiabetes Mellitus, Type 2Armsdapagliflozin, Gliclazide MR
Open the trial in the graph
3 · Its place in the literature

Who cites it

170 citing papers in PubMed, 4 syntheses or guidelines pooled it, 363 citations in OpenAlex.

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  12. Assessment of Glucose Control Metrics by Discriminant Ratio.Diabetes technology & therapeutics · 2020
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110 more citing papers are in PubMed but not listed here.

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 4 institutions in 3 countries.

Nathan R HillOxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, Oxford, United Kingdom. nathan.hill@ocdem.ox.ac.uk
Nick S Oliver
Pratik Choudhary
Jonathan C Levy
Peter Hindmarsh
David R Matthews
Churchill Hospital · GBFaculty (United Kingdom) · GBInstitute of Child Health · INKing's College - North Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlycemic variability has been proposed as a contributing factor in the development of diabetes complications. Multiple measures exist to calculate the magnitude of glycemic variability, but normative ranges for subjects without diabetes have not been described. For treatment targets and clinical research we present normative ranges for published measures of glycemic variability.

methodsSeventy-eight subjects without diabetes having a fasting plasma glucose of <120 mg/dL (6.7 mmol/L) underwent up to 72 h of continuous glucose monitoring (CGM) with a Medtronic Minimed (Northridge, CA) CGMS(®) Gold device. Glycemic variability was calculated using EasyGV(©) software (available free for non-commercial use at www.easygv.co.uk ), a custom program that calculates the SD, M-value, mean amplitude of glycemic excursions (MAGE), average daily risk ratio (ADRR), Lability Index (LI), J-Index, Low Blood Glucose Index (LBGI), High Blood Glucose Index (HBGI), continuous overlapping net glycemic action (CONGA), mean of daily differences (MODD), Glycemic Risk Assessment in Diabetes Equation (GRADE), and mean absolute glucose (MAG).

resultsEight CGM traces were excluded because there were inadequate data. From the remaining 70 traces, normative reference ranges (mean±2 SD) for glycemic variability were calculated: SD, 0-3.0; CONGA, 3.6-5.5; LI, 0.0-4.7; J-Index, 4.7-23.6; LBGI, 0.0-6.9; HBGI, 0.0-7.7; GRADE, 0.0-4.7; MODD, 0.0-3.5; MAGE-CGM, 0.0-2.8; ADDR, 0.0-8.7; M-value, 0.0-12.5; and MAG, 0.5-2.2.

conclusionsWe present normative ranges for measures of glycemic variability in adult subjects without diabetes for use in clinical care and academic research.

Indexed as

AdultAsian PeopleBlack or African AmericanBlack PeopleBlood GlucoseCircadian RhythmExtracellular FluidFemaleGlucoseHispanic or LatinoHumansMaleMonitoring, AmbulatoryReference ValuesSubcutaneous TissueUnited StatesBlood GlucoseGlucose

Identifiers

PMID21714681
PMCPMC3160264
OpenAlexW2069099947

What Socratic 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 Socratic graph.