Evidence map›Paper›PMID 28466412›Full record

ReviewCurrent obesity reports2017

Hyperinsulinemia: a Cause of Obesity?

Karel A Erion, Barbara E Corkey

Open access · hybridAbstract readReview
In one paragraph

Review in Current obesity reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
7.8field-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.

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

88 citing papers in PubMed, 2 syntheses or guidelines pooled it, 157 citations in OpenAlex.

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  19. Relationship Between Hyperinsulinemia and Coronary Microvascular Disease.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  20. Review

28 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

2 authors at 2 institutions in 1 country.

Karel A ErionObesity Research Center, Department of Medicine, Boston University School of Medicine, 650 Albany St, Boston, MA, 02118, USA.
Barbara E CorkeyObesity Research Center, Department of Medicine, Boston University School of Medicine, 650 Albany St, Boston, MA, 02118, USA. bcorkey@bu.edu.
Boston University · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis perspective is motivated by the need to question dogma that does not work: that the problem is insulin resistance (IR). We highlight the need to investigate potential environmental obesogens and toxins. RECENT

findingsThe prequel to severe metabolic disease includes three interacting components that are abnormal: (a) IR, (b) elevated lipids and (c) elevated basal insulin (HI). HI is more common than IR and is a significant independent predictor of diabetes. We hypothesize that (1) the initiating defect is HI that increases nutrient consumption and hyperlipidemia (HL); (2) the cause of HI may include food additives, environmental obesogens or toxins that have entered our food supply since 1980; and (3) HI is sustained by HL derived from increased adipose mass and leads to IR. We suggest that HI and HL are early indicators of metabolic dysfunction and treating and reversing these abnormalities may prevent the development of more serious metabolic disease.

Indexed as

Insulin ResistanceAnimalsBiomarkersEatingEnergy IntakeHumansHyperinsulinismHyperlipidemiasInsulinLipidsObesityRisk AssessmentRisk FactorsTime FactorsBiomarkersInsulinLipidsEnergy efficiencyHyperinsulinemiaHyperlipidemiaInsulin resistanceRedoxROS

Identifiers

PMID28466412
PMCPMC5487935
OpenAlexW2611024481

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.