Evidence map›Paper›PMID 29569318›Full record

ArticlePediatric diabetes2018

Insulin resistance is associated with smaller brain volumes in a preliminary study of depressed and obese children.

Owen R Phillips, Alexander K Onopa, Yevgeniya V Zaiko, Manpreet K Singh

Abstract read
In one paragraph

Article in Pediatric diabetes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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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

4 authors.

Owen R PhillipsDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, Stanford Pediatric Mood Disorders Program, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-5391-707X
Alexander K OnopaDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, Stanford Pediatric Mood Disorders Program, Stanford University School of Medicine, Stanford, California.
Yevgeniya V ZaikoDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, Stanford Pediatric Mood Disorders Program, Stanford University School of Medicine, Stanford, California.
Manpreet K SinghDepartment of Psychiatry, Division of Child and Adolescent Psychiatry, Stanford Pediatric Mood Disorders Program, Stanford University School of Medicine, Stanford, California.ORCID 0000-0002-4373-3293

Funding

Neurobehavioral Trajectories of Pediatric Depression and Insulin SensitivityR01MH106581 · NIMH · STANFORD UNIVERSITY · PI SUPPES, TRISHA · 2015 to 2019
$2.8M
NIMH NIH HHS R01 MH106581
6 · The paper itself

Abstract

objectiveDuring childhood, the brain can consume up to 65% of total calories, and a steady supply of the brain's main fuel glucose needs to be maintained. Although the brain itself is not dependent on insulin for the uptake of glucose, insulin plays an important role in energy homeostasis. Thus, the risk for insulin resistance during brain development may negatively impact the whole brain volume.

methodsWe investigated the link between the insulin resistance and the whole brain volume as measured by structural Magnetic resonance imaging (MRI) in 46 unmedicated depressed and overweight youths between the ages of 9 and 17 years.

resultsSmaller whole brain volumes were associated with insulin resistance independent of age, sex, depression severity, body mass index, socioeconomic status, Tanner Stage, and Intelligence quotient (IQ) (r = 0.395, P = .014)

conclusionsThere may be a significant cost for developing insulin resistance on the developing brain. Disentangling the precise relationship between the insulin resistance and the developing brain is critical.

Indexed as

Insulin ResistanceAdolescentBrainCase-Control StudiesChildChild DevelopmentDepressionFemaleGlucose Tolerance TestHumansMagnetic Resonance ImagingMaleObesityOrgan Sizebraindepressioninsulinmetabolismobesity

Identifiers

PMID29569318
PMCPMC6030449

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Registered trials

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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.