Evidence map›Paper›PMID 25773405›Full record

Trial reportDiabetologia2015

CGM-measured glucose values have a strong correlation with C-peptide, HbA1c and IDAAC, but do poorly in predicting C-peptide levels in the two years following onset of diabetes.

Bruce Buckingham, Peiyao Cheng, Roy W Beck, Craig Kollman, Katrina J Ruedy, Stuart A Weinzimer, Robert Slover, Andrew A Bremer, John Fuqua, William Tamborlane and 1 more

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Observational
  5. Article
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  13. Role ofBiomedicines · 2023
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  19. Observational
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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 6 institutions in 1 country.

Bruce BuckinghamDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, CA, USA.
Peiyao Cheng
Roy W Beck
Craig Kollman
Katrina J Ruedy
Stuart A Weinzimer
Robert Slover
Andrew A Bremer
John Fuqua
William Tamborlane
Diabetes Research in Children Network (DirecNet) and Type 1 Diabetes TrialNet Study Groups
Jaeb Center for Health Research · USYale University · USIndiana University – Purdue University Indianapolis · USStanford University · USUniversity of Colorado Denver · USVanderbilt University · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025780 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2008 to 2011
$61.3M
YALE UNIVERSITY CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAMUL1RR024139 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$56.8M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
INDIANA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE (UL1): BPCAUL1RR025761 · NCRR · INDIANA UNIVERSITY INDIANAPOLIS · PI SHEKHAR, ANANTHA · 2008 to 2011
$21.0M
Cooperative Multicenter Diabetes Research Network for Hypoglycemia PreventionU10HD041890 · NICHD · JAEB CENTER FOR HEALTH RESEARCH, INC. · PI BECK, ROY W. · 2007 to 2011
$9.7M
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
TrialNet: Diabetes Type 1 PreventionU01DK085509 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI GOTTLIEB, PETER A · 2009 to 2018
$5.8M
Type 1 Diabetes TrialNet Clinical Center: Effects of Alefacept in New Onset T1DU01DK085499 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BAIDAL, DAVID · 2009 to 2018
$4.9M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1TR000445NCATS NIH HHS UL1 TR001082NCRR NIH HHS 1UL1RR025780NCRR NIH HHS SUL1RR025744NCRR NIH HHS UL1 RR024139NCRR NIH HHS UL1 RR025744NCRR NIH HHS UL1 RR025761NCRR NIH HHS UL1 RR025780NCRR NIH HHS UL1-RR-25761NICHD NIH HHS HD41890-10NICHD NIH HHS HD41906-10NICHD NIH HHS HD41908-10NICHD NIH HHS U01 HD041890NICHD NIH HHS U10 HD041890NICHD NIH HHS U10 HD041906NICHD NIH HHS U10 HD041908NIDDK NIH HHS 5U01DK085465-04NIDDK NIH HHS 5U01DK085466-05NIDDK NIH HHS U01 DK061010NIDDK NIH HHS U01 DK061042NIDDK NIH HHS U01DK06104211NIDDK NIH HHS U01 DK085465NIDDK NIH HHS U01 DK085466NIDDK NIH HHS U01 DK085476NIDDK NIH HHS U01 DK085499NIDDK NIH HHS U01 DK085505NIDDK NIH HHS U01DK085505-02NIDDK NIH HHS U01 DK085509NIDDK NIH HHS U01DK085509NIDDK NIH HHS U01 DK103153NIDDK NIH HHS U01 DK103266NIDDK NIH HHS U01 DK107014
6 · The paper itself

Abstract

aims/hypothesisThe aim of this work was to assess the association between continuous glucose monitoring (CGM) data, HbA1c, insulin-dose-adjusted HbA1c (IDAA1c) and C-peptide responses during the first 2 years following diagnosis of type 1 diabetes.

methodsA secondary analysis was conducted of data collected from a randomised trial assessing the effect of intensive management initiated within 1 week of diagnosis of type 1 diabetes, in which mixed-meal tolerance tests were performed at baseline and at eight additional time points through 24 months. CGM data were collected at each visit.

resultsAmong 67 study participants (mean age [± SD] 13.3 ± 5.7 years), HbA1c was inversely correlated with C-peptide at each time point (p < 0.001), as were changes in each measure between time points (p < 0.001). However, C-peptide at one visit did not predict the change in HbA1c at the next visit and vice versa. Higher C-peptide levels correlated with increased proportion of CGM glucose values between 3.9 and 7.8 mmol/l and lower CV (p = 0.001 and p = 0.02, respectively) but not with CGM glucose levels <3.9 mmol/l. Virtually all participants with IDAA1c < 9 retained substantial insulin secretion but when evaluated together with CGM, time in the range of 3.9-7.8 mmol/l and CV did not provide additional value in predicting C-peptide levels. CONCLUSIONS/

interpretationIn the first 2 years after diagnosis of type 1 diabetes, higher C-peptide levels are associated with increased sensor glucose levels in the target range and with lower glucose variability but not hypoglycaemia. CGM metrics do not provide added value over the IDAA1c in predicting C-peptide levels.

Indexed as

AdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringChildC-PeptideDiabetes Mellitus, Type 1Glucose Tolerance TestGlycated HemoglobinHumansInsulinInsulin Infusion SystemsMiddle AgedReference ValuesYoung AdultBlood GlucoseC-PeptideGlycated Hemoglobinhemoglobin A1c protein, humanInsulin

Identifiers

PMID25773405
PMCPMC4416994
OpenAlexW2092857589

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.