Evidence map›Paper›PMID 26420304›Full record

ReviewPediatric diabetes2016

Metabolomics in childhood diabetes.

Brigitte I Frohnert, Marian J Rewers

Abstract readReview
In one paragraph

Review in Pediatric diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 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

2 authors at 1 institution in 1 country.

Brigitte I FrohnertBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, 80045, USA.
Marian J RewersBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, 80045, USA.
University of Colorado Boulder · US

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
Natural History of Pre-Diabetic Autoimmunity (DAISY)R01DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1986 to 2024
$9.3M
Natural History of Pre-diabetic Autoimmunity (DAISY)R37DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2001 to 2010
$8.0M
Multiple Autoantigens/Multiple Epitopes of Type 1DMR01DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MICHELS, AARON W · 1986 to 2025
$6.9M
K12 Career DevelopmentK12DK094712 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI STECK, ANDREA · 2011 to 2021
$4.5M
NIDDK NIH HHS 5K12DK094712NIDDK NIH HHS DK320083NIDDK NIH HHS DK-32493NIDDK NIH HHS K12 DK094712NIDDK NIH HHS R01 DK032083NIDDK NIH HHS R01 DK032493NIDDK NIH HHS R37 DK032493
6 · The paper itself

Abstract

Recent increases in the incidence of both type 1 (T1D) and type 2 diabetes (T2D) in children and adolescents point to the importance of environmental factors in the development of these diseases. Metabolomic analysis explores the integrated response of the organism to environmental changes. Metabolic profiling can identify biomarkers that are predictive of disease incidence and development, potentially providing insight into disease pathogenesis. This review provides an overview of the role of metabolomic analysis in diabetes research and summarizes recent research relating to the development of T1D and T2D in children.

Indexed as

AdolescentBiomarkersChildDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2HumansMetabolomicsBiomarkersautoimmunitydiabeteslipidomicsmetabolomics

Identifiers

PMID26420304
PMCPMC4703499
OpenAlexW2143141751

What OpenQuestion holds

Textmetadata
LicenceTDM
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.