Evidence map›Paper›PMID 29171129›Full record

ArticlePediatric diabetes2018

The influence of body mass index and age on C-peptide at the diagnosis of type 1 diabetes in children who participated in the diabetes prevention trial-type 1.

Jay M Sosenko, Susan Geyer, Jay S Skyler, Lisa E Rafkin, Heba M Ismail, Ingrid M Libman, Yuk-Fun Liu, Linda A DiMeglio, Carmella Evans-Molina, Jerry P Palmer

Open access · greenAbstract readControlled Clinical Trial
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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 27 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

10 authors at 7 institutions in 2 countries.

Jay M SosenkoDivision of Endocrinology, University of Miami, Miami, Florida.ORCID 0000-0002-7204-8367
Susan GeyerHealth Informatics Institute, University of South Florida, Tampa, Florida.
Jay S SkylerDivision of Endocrinology, University of Miami, Miami, Florida.
Lisa E RafkinDivision of Endocrinology, University of Miami, Miami, Florida.
Heba M IsmailDivision of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania.
Ingrid M LibmanDivision of Endocrinology, Diabetes and Metabolism, University of Pittsburgh and Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania.
Yuk-Fun LiuDepartment of Immunobiology, Kings College, London, UK.
Linda A DiMeglioSection of Pediatric Endocrinology/Diabetology, Indiana University, Indianapolis, Indiana.
Carmella Evans-MolinaDivision of Endocrinology, Indiana University, Indianapolis, Indiana.
Jerry P PalmerVA Puget Sound Health Care System; Division of Endocrinology, Metabolism and Nutrition, University of Washington, Seattle, Washington.
University of Miami · USUniversity of Pittsburgh · USIndiana University Health · USKing's College - North Carolina · USUniversity of South Florida · USUniversity of Washington · USUrology of Indiana · US

Funding

Data Coordinating Center for Type 1 Diabetes TrialNet (UC4)USF: TrialNet UC4-3UC4DK117009 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2019
$49.6M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Sakeneh Zraika · 1986 to 2026
$41.4M
NIDDK Type 1 Diabetes TrialNet Data Coordinating CenterUC4DK106993 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$36.6M
Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
Type 1 Diabetes TrialNet Clinical Network HubU01DK103282 · NIDDK · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI CARLA J GREENBAUM, KURT J GRIFFIN · 2014 to 2026
$14.2M
Northwest Clinical Center for Type 1 Diabetes - TrialNetU01DK061034 · NIDDK · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI GREENBAUM, CARLA J · 2001 to 2018
$10.3M
Type I Diabetes Trialnet at StsnfordU01DK061042 · NIDDK · STANFORD UNIVERSITY · PI WILSON, DARRELL M · 2001 to 2018
$8.5M
UCSF Trialnet: A Phase II Trial of Imatimib in New Onset Type I DiabetesU01DK061010 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GITELMAN, STEPHEN E · 2001 to 2018
$8.1M
Type 1 Diabetes-A Proposal for Prevention & InterventionU01DK085476 · NIDDK · UNIVERSITY OF MINNESOTA · PI MORAN, ANTOINETTE M. · 2009 to 2018
$7.1M
Prediction and Prevention of Type I DiabetesU01DK061058 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, DOROTHY J · 2001 to 2018
$6.5M
TrialNet: University of Florida Clinical Center and NetworkU01DK085461 · NIDDK · UNIVERSITY OF FLORIDA · PI HALLER, MICHAEL JAMES · 2009 to 2018
$5.9M
TrialNet: Diabetes Type 1 PreventionU01DK085509 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI GOTTLIEB, PETER A · 2009 to 2018
$5.8M
BLRD VA I01 BX001733NIDDK NIH HHS P30 DK017047NIDDK NIH HHS P30 DK097512NIDDK NIH HHS R01 DK093954NIDDK NIH HHS U01 DK061010NIDDK NIH HHS U01 DK061034NIDDK NIH HHS U01 DK061042NIDDK NIH HHS U01 DK061058NIDDK NIH HHS U01 DK085453NIDDK NIH HHS U01 DK085461NIDDK NIH HHS U01 DK085465NIDDK NIH HHS U01 DK085466NIDDK NIH HHS U01 DK085476NIDDK NIH HHS U01 DK085499NIDDK NIH HHS U01 DK085504NIDDK NIH HHS U01 DK085509NIDDK NIH HHS U01 DK103153NIDDK NIH HHS U01 DK103180NIDDK NIH HHS U01 DK103266NIDDK NIH HHS U01 DK103282NIDDK NIH HHS U01 DK106984NIDDK NIH HHS U01 DK106994NIDDK NIH HHS U01 DK107013NIDDK NIH HHS U01 DK107014NIDDK NIH HHS UC4 DK104166NIDDK NIH HHS UC4 DK106993NIDDK NIH HHS UC4 DK117009
6 · The paper itself

Abstract

BACKGROUND/

objectiveThe extent of influence of BMI and age on C-peptide at the diagnosis of type 1 diabetes (T1D) is unknown. We thus studied the impact of body mass index Z-scores (BMIZ) and age on C-peptide measures at and soon after the diagnosis of T1D.

methodsData from Diabetes Prevention Trial-Type 1 (DPT-1) participants <18.0 years at diagnosis was analyzed. Analyses examined associations of C-peptide measures with BMIZ and age in 2 cohorts: oral glucose tolerance tests (OGTTs) at diagnosis (n = 99) and mixed meal tolerance tests (MMTTs) <6 months after diagnosis (n = 80). Multivariable linear regression was utilized.

resultsFasting and area under the curve (AUC) C-peptide from OGTTs (n = 99) at diagnosis and MMTTs (n = 80) after diagnosis were positively associated with BMIZ and age (P < .001 for all). Associations persisted when BMIZ and age were included as independent variables in regression models (P < .001 for all). BMIZ and age explained 31%-47% of the variance of C-peptide measures. In an example, 2 individuals with identical AUC C-peptide values had an approximate 5-fold difference in values after adjustments for BMIZ and age. The association between fasting glucose and C-peptide decreased markedly when fasting C-peptide values were adjusted (r = 0.30, P < .01 to r = 0.07, n.s.).

conclusionsC-peptide measures are strongly and independently related to BMIZ and age at and soon after the diagnosis of T1D. Adjustments for BMIZ and age cause substantial changes in C-peptide values, and impact the association between glycemia and C-peptide. Such adjustments can improve assessments of β-cell impairment at diagnosis.

Indexed as

AdolescentAge FactorsBody Mass IndexChildC-PeptideDiabetes Mellitus, Type 1FemaleHumansMaleC-Peptideagebody mass indexchildrenC-peptidetype 1 diabetes

Identifiers

PMID29171129
PMCPMC5918232
OpenAlexW2769719015

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.