Evidence map›Paper›PMID 28646033›Full record

ReviewClinical chemistry2017

Implementing a Reference Measurement System for C-Peptide: Successes and Lessons Learned.

Randie R Little, Robert I Wielgosz, Ralf Josephs, Tomoya Kinumi, Akiko Takatsu, Hongmei Li, Daniel Stein, Chris Burns

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
76.6field-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, 376 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The evolution of C-peptide's role in diabetes care.Current opinion in endocrinology, diabetes, and obesity · 2026
    Review
  5. Article
  6. Call for Standardization of C-Peptide Measurement.Journal of diabetes science and technology · 2025
    Review
  7. Article
  8. MRM-based LC-MS method for accurate C-peptide quantitation.Journal of mass spectrometry and advances in the clinical lab · 2025
    Article
  9. Exploring the potential role of C-peptide in type 2 diabetes management.Diabetic medicine : a journal of the British Diabetic Association · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Comparability of C-Peptide Measurements - Current Status and Clinical Relevance.Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association · 2023
    Article
  16. Review
  17. Critical need to assess modified and un-modified peptides in C-peptide standard materials.Journal of mass spectrometry and advances in the clinical lab · 2022
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 5 countries.

Randie R LittleDepartment of Pathology and Anatomical Sciences, University of Missouri School of Medicine, Columbia, MO; LittleR@health.missouri.edu.
Robert I WielgoszBureau International des Poids et Mesures, Sèvres Cedex, France.
Ralf JosephsBureau International des Poids et Mesures, Sèvres Cedex, France.
Tomoya KinumiBio-Medical Standards Group, National Metrology Institute of Japan, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan.
Akiko TakatsuBio-Medical Standards Group, National Metrology Institute of Japan, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan.
Hongmei LiNational Institute of Metrology, Beijing, China.
Daniel SteinDivision of Endocrinology and Metabolism, Diabetes Research and Training Center, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY.
Chris BurnsNational Institute for Biological Standards and Control, South Mimms, UK.
Bureau international des poids et mesures · FRNational Institute of Advanced Industrial Science and Technology · JPAlbert Einstein College of Medicine · USNational Institute for Biological Standards and Control · GBNational Institute of Metrology · CNUniversity of Missouri · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
Standardization of C-Peptide and HbA1C (UC4)UC4DK096587 · NIDDK · UNIVERSITY OF MISSOURI-COLUMBIA · PI LITTLE, RANDIE · 2012 to 2017
$3.9M
NIDDK NIH HHS P30 DK020541NIDDK NIH HHS UC4 DK096587
6 · The paper itself

Abstract

backgroundAssessment of endogenous insulin secretion by measuring C-peptide concentrations is widely accepted. Recent studies have shown that preservation of even small amounts of endogenous C-peptide production in patients with type 1 diabetes reduces risks for diabetic complications. Harmonization of C-peptide results will facilitate comparison of data from different research studies and later among clinical laboratory results at different sites using different assay methods. CONTENT: This review provides an overview of the general process of harmonization and standardization and the challenges encountered with implementing a reference measurement system for C-peptide. SUMMARY: Efforts to harmonize C-peptide results are described, including those by the National Institute of Diabetes and Digestive and Kidney Diseases-led C-peptide Standardization Committee in the US, activities in Japan, efforts by the National Institute for Biological Standards and Control in the UK, as well as activities led by the Bureau International des Poids et Mesures and the National Metrology Institute in China. A traceability scheme is proposed along with the next steps for implementation. Suggestions are made for better collaboration to optimize the harmonization process for other measurands.

Indexed as

Clinical Laboratory ServicesC-PeptideDiabetes Mellitus, Type 1HumansObserver VariationReference StandardsC-Peptide

Identifiers

PMID28646033
PMCPMC5575958
OpenAlexW2696753613

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.