Evidence map›Paper›PMID 26155920›Full record

ArticleInternational journal of obesity (2005)2015

Insulin resistance in obesity can be reliably identified from fasting plasma insulin.

K W ter Horst, P W Gilijamse, K E Koopman, B A de Weijer, M Brands, R S Kootte, J A Romijn, M T Ackermans, M Nieuwdorp, M R Soeters and 1 more

Registry-linked trialOpen access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05314855 (Role of the Central Brain Clock in the Pathophysiology of Insulin Resistance), which is not on this map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
6.0field-weighted citation impact, top 3% 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.

NCT05314855 completednot on this mapstarted 2023, after this paper: background citation

Role of the Central Brain Clock in the Pathophysiology of Insulin Resistance

Typeobservational_patient_registrySponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2023 to 2025Enrolled28ConditionsInsulin Resistance, Type 2 DiabetesArmsfunctional MRI
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 63 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

11 authors at 1 institution in 1 country.

K W ter HorstDepartment of Endocrinology and Metabolism, Academic Medical Center, Amsterdam, The Netherlands.
P W GilijamseDepartment of Endocrinology and Metabolism, Academic Medical Center, Amsterdam, The Netherlands.
K E KoopmanDepartment of Endocrinology and Metabolism, Academic Medical Center, Amsterdam, The Netherlands.
B A de WeijerDepartment of Endocrinology and Metabolism, Academic Medical Center, Amsterdam, The Netherlands.
M BrandsDepartment of Endocrinology and Metabolism, Academic Medical Center, Amsterdam, The Netherlands.
R S KootteDepartment of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands.
J A RomijnDepartment of Medicine, Academic Medical Center, Amsterdam, The Netherlands.
M T AckermansDepartment of Clinical Chemistry, Laboratory of Endocrinology, Academic Medical Center, Amsterdam, The Netherlands.
M NieuwdorpDepartment of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands.
M R SoetersDepartment of Endocrinology and Metabolism, Academic Medical Center, Amsterdam, The Netherlands.
M J SerlieDepartment of Endocrinology and Metabolism, Academic Medical Center, Amsterdam, The Netherlands.
Academic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesInsulin resistance is the major contributor to cardiometabolic complications of obesity. We aimed to (1) establish cutoff points for insulin resistance from euglycemic hyperinsulinemic clamps (EHCs), (2) identify insulin-resistant obese subjects and (3) predict insulin resistance from routinely measured variables. SUBJECTS/

methodsWe assembled data from non-obese (n=112) and obese (n=100) men who underwent two-step EHCs using [6,6-(2)H2]glucose as tracer (insulin infusion dose 20 and 60 mU m(-2) min(-1), respectively). Reference ranges for hepatic and peripheral insulin sensitivity were calculated from healthy non-obese men. Based on these reference values, obese men with preserved insulin sensitivity or insulin resistance were identified.

resultsCutoff points for insulin-mediated suppression of endogenous glucose production (EGP) and insulin-stimulated glucose disappearance rate (Rd) were 46.5% and 37.3 μmol kg(-)(1) min(-)(1), respectively. Most obese men (78%) had EGP suppression within the reference range, whereas only 12% of obese men had Rd within the reference range. Obese men with Rd <37.3 μmol kg(-1) min(-1) did not differ from insulin-sensitive obese men in age, body mass index (BMI), body composition, fasting glucose or cholesterol, but did have higher fasting insulin (110±49 vs 63±29 pmol l(-1), P<0.001) and homeostasis model assessment of insulin resistance (HOMA-IR) (4.5±2.2 vs 2.7±1.4, P=0.004). Insulin-resistant obese men could be identified with good sensitivity (80%) and specificity (75%) from fasting insulin >74 pmol l(-1).

conclusionsMost obese men have hepatic insulin sensitivity within the range of non-obese controls, but below-normal peripheral insulin sensitivity, that is, insulin resistance. Fasting insulin (>74 pmol l(-1) with current insulin immunoassay) may be used for identification of insulin-resistant (or metabolically unhealthy) obese men in research and clinical settings.

Indexed as

Insulin ResistanceAdipose Tissue, WhiteAdultBlood GlucoseBody Mass IndexFastingGlucose Clamp TechniqueHumansHypoglycemic AgentsInsulinLiverMaleMiddle AgedMuscle, SkeletalNetherlandsObesityBlood GlucoseHypoglycemic AgentsInsulin

Identifiers

PMID26155920
OpenAlexW786484223

What OpenQuestion holds

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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.