Evidence map›Paper›PMID 23439165›Full record

Trial reportJournal of diabetes science and technology2013

A novel fasting blood test for insulin resistance and prediabetes.

Jeff Cobb, Walter Gall, Klaus-Peter Adam, Pamela Nakhle, Eric Button, James Hathorn, Kay Lawton, Michael Milburn, Regis Perichon, Matthew Mitchell and 2 more

Registry-linked trialOpen access · bronzeAbstract readClinical TrialValidation Study
In one paragraph

Trial report in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02304081 (Effect of Saxagliptin in Addition to Dapagliflozin and Metformin on Insulin Resistance, Islet Cell Dysfunction, and Metabolic Control in Subjects With Type 2 Diabetes Mellitus on Previous Metformin Treatment), which is not on this map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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.

NCT02304081 phase4completednot on this mapstarted 2015, after this paper: background citation

Effect of Saxagliptin in Addition to Dapagliflozin and Metformin on Insulin Resistance, Islet Cell Dysfunction, and Metabolic Control in Subjects With Type 2 Diabetes Mellitus on Previous Metformin Treatment

TypeinterventionalSponsorProf. Dr. Thomas ForstRan2015 to 2016Enrolled64ConditionsType2 Diabetes MellitusArmsSaxagliptin, Placebo for Saxagliptin
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

  1. Pooled it
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  16. Targeted and untargeted metabolomic approach for GDM diagnosis.Frontiers in molecular biosciences · 2022
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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

12 authors at 3 institutions in 3 countries.

Jeff CobbMetabolon Inc., Durham, North Carolina 27713, USA. jcobb@metabolon.com
Walter Gall
Klaus-Peter Adam
Pamela Nakhle
Eric Button
James Hathorn
Kay Lawton
Michael Milburn
Regis Perichon
Matthew Mitchell
Andrea Natali
Ele Ferrannini
Durham University · GBMetabolon (United States) · USUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance (IR) can precede the dysglycemic states of prediabetes and type 2 diabetes mellitus (T2DM) by a number of years and is an early marker of risk for metabolic and cardiovascular disease. There is an unmet need for a simple method to measure IR that can be used for routine screening, prospective study, risk assessment, and therapeutic monitoring. We have reported several metabolites whose fasting plasma levels correlated with insulin sensitivity. These metabolites were used in the development of a novel test for IR and prediabetes.

methodsData from the Relationship between Insulin Sensitivity and Cardiovascular Disease Study were used in an iterative process of algorithm development to define the best combination of metabolites for predicting the M value derived from the hyperinsulinemic euglycemic clamp, the gold standard measure of IR. Subjects were divided into a training set and a test set for algorithm development and validation. The resulting calculated M score, M(Q), was utilized to predict IR and the risk of progressing from normal glucose tolerance to impaired glucose tolerance (IGT) over a 3 year period.

resultsM(Q) correlated with actual M values, with an r value of 0.66. In addition, the test detects IR and predicts 3 year IGT progression with areas under the curve of 0.79 and 0.70, respectively, outperforming other simple measures such as fasting insulin, fasting glucose, homeostatic model assessment of IR, or body mass index.

conclusionsThe result, Quantose(TM), is a simple test for IR based on a single fasting blood sample and may have value as an early indicator of risk for the development of prediabetes and T2DM.

Indexed as

Insulin ResistanceAdultAlgorithmsArea Under CurveBlood GlucoseFastingFemaleHumansInsulinMaleMiddle AgedPrediabetic StateBlood GlucoseInsulin

Identifiers

PMID23439165
PMCPMC3692221
OpenAlexW2123002438

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.