Evidence map›Paper›PMID 29484470›Full record

ArticleDiabetologia2018

Prediction of clamp-derived insulin sensitivity from the oral glucose insulin sensitivity index.

Andrea Tura, Gaetano Chemello, Julia Szendroedi, Christian Göbl, Kristine Færch, Jana Vrbíková, Giovanni Pacini, Ele Ferrannini, Michael Roden

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 9% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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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

9 authors at 6 institutions in 5 countries.

Andrea TuraMetabolic Unit, CNR Institute of Neuroscience, Corso Stati Uniti 4, 35127, Padova, Italy. andrea.tura@cnr.it.
Gaetano ChemelloMetabolic Unit, CNR Institute of Neuroscience, Corso Stati Uniti 4, 35127, Padova, Italy.
Julia SzendroediDivision of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
Christian GöblDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
Kristine FærchSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Jana VrbíkováInstitute of Endocrinology, Prague, Czech Republic.
Giovanni PaciniMetabolic Unit, CNR Institute of Neuroscience, Corso Stati Uniti 4, 35127, Padova, Italy.
Ele FerranniniCNR Institute of Clinical Physiology, Pisa, Italy.
Michael RodenDivision of Endocrinology and Diabetology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
Neuroscience Institute · ITHeinrich Heine University Düsseldorf · DEInstitute of Endocrinology · CZIstituto di Fisiologia Clinica · ITMedical University of Vienna · ATSteno Diabetes Centers · DK

Funding

Austrian National Bank OENB 11459Austrian Science Foundation P15656European Union EXGENESIS grant (005272)German Research Foundation DFG, SFB 1116Italian Ministry of University and Scientific Research 2001065883-001Ministry of Health, Czech Republic EU 00023761
6 · The paper itself

Abstract

aims/hypothesisThe euglycaemic-hyperinsulinaemic clamp is the gold-standard method for measuring insulin sensitivity, but is less suitable for large clinical trials. Thus, several indices have been developed for evaluating insulin sensitivity from the oral glucose tolerance test (OGTT). However, most of them yield values different from those obtained by the clamp method. The aim of this study was to develop a new index to predict clamp-derived insulin sensitivity (M value) from the OGTT-derived oral glucose insulin sensitivity index (OGIS).

methodsWe analysed datasets of people that underwent both a clamp and an OGTT or meal test, thereby allowing calculation of both the M value and OGIS. The population was divided into a training and a validation cohort (n = 359 and n = 154, respectively). After a stepwise selection approach, the best model for M value prediction was applied to the validation cohort. This cohort was also divided into subgroups according to glucose tolerance, obesity category and age.

resultsThe new index, called PREDIcted M (PREDIM), was based on OGIS, BMI, 2 h glucose during OGTT and fasting insulin. Bland-Altman analysis revealed a good relationship between the M value and PREDIM in the validation dataset (only 9 of 154 observations outside limits of agreement). Also, no significant differences were found between the M value and PREDIM (equivalence test: p < 0.0063). Subgroup stratification showed that measured M value and PREDIM have a similar ability to detect intergroup differences (p < 0.02, both M value and PREDIM). CONCLUSIONS/

interpretationThe new index PREDIM provides excellent prediction of M values from OGTT or meal data, thereby allowing comparison of insulin sensitivity between studies using different tests.

Indexed as

Glucose Tolerance TestInsulin ResistanceAdultAnthropometryBlood GlucoseDiabetes MellitusFemaleGlucose Clamp TechniqueGlucose IntoleranceHumansInsulinMaleMiddle AgedObesitySeverity of Illness IndexTime FactorsBlood GlucoseInsulinGlucose clampGlucose toleranceInsulin resistanceOral glucose tolerance testPrediction modelValidation

Identifiers

PMID29484470
OpenAlexW2793682230

What OpenQuestion 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 OpenQuestion graph.