Evidence map›Paper›PMID 38349844›Full record

ReviewDiabetes2024

Evidence for C-Peptide as a Validated Surrogate to Predict Clinical Benefits in Trials of Disease-Modifying Therapies for Type 1 Diabetes.

Esther Latres, Carla J Greenbaum, Maria L Oyaski, Colin M Dayan, Helen M Colhoun, John M Lachin, Jay S Skyler, Michael R Rickels, Simi T Ahmed, Sanjoy Dutta and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
16.6field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. New and emerging therapies in type 1 diabetes mellitus.The Journal of clinical investigation · 2026
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. C-peptide in Precision Diabetes Care and Beyond: A Comprehensive Review.Clinical medicine insights. Endocrinology and diabetes · 2026
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Call for Standardization of C-Peptide Measurement.Journal of diabetes science and technology · 2025
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 2 countries.

Esther LatresJDRF, New York, NY.ORCID 0009-0003-8330-1393
Carla J GreenbaumBenaroya Research Institute at Virginia Mason, Seattle, WA.ORCID 0000-0003-4451-9800
Maria L OyaskiJDRF, New York, NY.
Colin M DayanCardiff University School of Medicine, Cardiff, U.K.ORCID 0000-0002-6557-3462
Helen M ColhounInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, U.K.ORCID 0000-0002-8345-3288
John M LachinBiostatistics Center, George Washington University, Rockville, MD.ORCID 0000-0001-9838-2841
Jay S SkylerDiabetes Research Institute, University of Miami, Miami, FL.ORCID 0000-0003-1136-8110
Michael R RickelsInstitute for Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.ORCID 0000-0002-9253-838X
Simi T AhmedNew York Stem Cell Foundation Research Institute, New York, NY.
Sanjoy DuttaJDRF, New York, NY.ORCID 0000-0001-8117-1677
Kevan C HeroldDepartments of Immunobiology and Internal Medicine, Yale School of Medicine, New Haven, CT.ORCID 0000-0003-1534-6613
Marjana MarinacJDRF, New York, NY.ORCID 0000-0002-5082-6201
Cardiff University · GBEdinburgh Cancer Research · GBGeorge Washington University · USNew York Stem Cell Foundation · USUniversity of Miami · USUniversity of Pennsylvania · USVirginia Mason Medical Center · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes is a chronic autoimmune disease in which destruction of pancreatic β-cells causes life-threatening metabolic dysregulation. Numerous approaches are envisioned for new therapies, but limitations of current clinical outcome measures are significant disincentives to development efforts. C-peptide, a direct byproduct of proinsulin processing, is a quantitative biomarker of β-cell function that is not cleared by the liver and can be measured in the peripheral blood. Studies of quantitative measures of β-cell function have established a predictive relationship between stimulated C-peptide as a measure of β-cell function and clinical benefits. C-peptide levels at diagnosis are often high enough to afford glycemic control benefits associated with protection from end-organ complications of diabetes, and even lower levels offer protection from severe hypoglycemia in type 1 diabetes, as observed in large prospective cohort studies and interventional trials of islet transplantation. These observations support consideration of C-peptide not just as a biomarker of β-cell function but also as a specific, sensitive, feasible, and clinically meaningful outcome defining β-cell preservation or restoration for clinical trials of disease-modifying therapies. Regulatory acceptance of C-peptide as a validated surrogate for demonstration of efficacy would greatly facilitate development of disease-modifying therapies for type 1 diabetes. ARTICLE HIGHLIGHTS:

Indexed as

BiomarkersC-PeptideDiabetes Mellitus, Type 1Insulin-Secreting CellsClinical Trials as TopicHumansBiomarkersC-Peptide

Identifiers

PMID38349844
OpenAlexW4391774384

What OpenQuestion holds

Textmetadata
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.