Evidence map›Paper›PMID 42274395›Full record

ArticleDiabetes care2026

Long-term Effect of C-Peptide Level on Clinical Outcomes in the Scottish Type 1 Bioresource Cohort.

Joseph C Mellor, Luke A K Blackbourn, Stuart J McGurnaghan, Paul M McKeigue, Julia Zaccai, Oliver Guenther, Antonia Ridolfi, Aymeric Mahieu, Mireille Bonnemaire, Helen M Colhoun

Abstract read
In one paragraph

Article in Diabetes care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Joseph C MellorDiabetes Informatics & Epidemiology Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, U.K.
Luke A K BlackbournDiabetes Informatics & Epidemiology Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, U.K.
Stuart J McGurnaghanDiabetes Informatics & Epidemiology Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, U.K.ORCID 0000-0002-3292-4633
Paul M McKeigueDiabetes Informatics & Epidemiology Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, U.K.ORCID 0000-0002-5217-1034
Julia ZaccaiSanofi, Paris, France.
Oliver GuentherSanofi, Paris, France.
Antonia RidolfiSanofi, Paris, France.
Aymeric MahieuSanofi, Paris, France.
Mireille BonnemaireSanofi, Paris, France.
Helen M ColhounDiabetes Informatics & Epidemiology Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland, U.K.ORCID 0000-0002-8345-3288

Funding

Sanofi
6 · The paper itself

Abstract

objectiveTo characterize associations of C-peptide measurements with type 1 diabetes (T1D) complications across long-term clinical follow-up in a large representative population cohort (Scottish Diabetes Research Network Type 1 Bioresource [SDRNT1BIO]). RESEARCH DESIGN AND

methodsSDRNT1BIO includes people with a clinical diagnosis of T1D who are aged 16 years or older at enrollment. Their median diabetes duration is 21 (interquartile range 11-31) years. C-peptide was measured in an untimed blood sample using the Roche immunoassay with a lower limit of detection of 3 pmol/L. Incident events and continuous outcomes were captured through electronic health record linkage across follow-up. Associations were studied using Poisson generalized linear models and linear mixed models adjusted for sex, age, time-updated T1D duration, year of entry, and age/T1D duration interaction.

resultsParticipants (n = 5,630) were followed for a median of 10.8 years. Inverse associations were found between baseline C-peptide level and diabetic ketoacidosis (DKA) (P < 0.0001; no. of events = 1,015), severe hospitalized hypoglycemia (SHH) (P = 0.0055; n = 539), and incident retinopathy (P < 0.0001; n = 1,172). These associations persisted when adjusted for time-updated glycosylated hemoglobin. No associations were found between baseline C-peptide levels and cardiovascular disease (P = 0.9; n = 714) or death (P = 0.8; n = 566). In a subset of participants (n = 407) with serial C-peptide measures, follow-up C-peptide level was inversely associated with risk for DKA (P < 0.001; n = 92) and there was a borderline association with SHH (P = 0.015; n = 28).

conclusionsThese data demonstrate the importance of C-peptide level and its maintenance for glycemic control and avoidance of acute and chronic complications of T1D.

Indexed as

C-PeptideDiabetes Mellitus, Type 1AdolescentAdultCohort StudiesDiabetic KetoacidosisDiabetic RetinopathyFemaleHumansHypoglycemiaMaleMiddle AgedYoung AdultC-Peptide

Identifiers

PMID42274395
PMCPMC13385944

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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.