Evidence map›Paper›PMID 28862812›Full record

ArticleDiabetes, obesity & metabolism2018

Performance of individually measured vs population-based C-peptide kinetics to assess β-cell function in the presence and absence of acute insulin resistance.

Ron T Varghese, Chiara Dalla Man, Marcello C Laurenti, Francesca Piccinini, Anu Sharma, Meera Shah, Kent R Bailey, Robert A Rizza, Claudio Cobelli, Adrian Vella

Open access · greenAbstract readComparative Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Insulin Pulse Characteristics and Insulin Action in Non-diabetic Humans.The Journal of clinical endocrinology and metabolism · 2021
    Article
  7. Article
  8. Assessment of individual and standardized glucagon kinetics in healthy humans.American journal of physiology. Endocrinology and metabolism · 2021
    Article
  9. Article
  10. Article
  11. Article
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 2 institutions in 2 countries.

Ron T VargheseDepartment of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.
Chiara Dalla ManDepartment of Information Engineering, Universita' di Padova, Padova, Italy.
Marcello C LaurentiDepartment of Information Engineering, Universita' di Padova, Padova, Italy.
Francesca PiccininiDepartment of Information Engineering, Universita' di Padova, Padova, Italy.
Anu SharmaDepartment of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.
Meera ShahDepartment of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.
Kent R BaileyDepartment of Internal Medicine, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
Robert A RizzaDepartment of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.
Claudio CobelliDepartment of Information Engineering, Universita' di Padova, Padova, Italy.
Adrian VellaDepartment of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-6493-7837
Mayo Clinic · USUniversity of Padua · IT

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
DIABETES AND METABOLISMT32DK007352 · NIDDK · MAYO CLINIC ROCHESTER · PI MICHAEL D. JENSEN · 1986 to 2026
$9.4M
The regulation of fasting glucose metabolism in people with and without prediabetesR01DK078646 · NIDDK · MAYO CLINIC ROCHESTER · PI Adrian Vella · 2007 to 2026
$8.7M
NCATS NIH HHS UL1 TR000135NIDDK NIH HHS R01 DK078646NIDDK NIH HHS T32 DK007352
6 · The paper itself

Abstract

aimsTo compare the performance of population-based kinetics with that of directly measured C-peptide kinetics when used to calculate β-cell responsivity indices, and to study people with and without acute insulin resistance to ensure that population-based kinetics apply to all conditions where β-cell function is measured.

methodsSomatostatin was used to inhibit endogenous insulin secretion in 56 people without diabetes. Subsequently, a C-peptide bolus was administered and the changing concentrations were used to calculate individual kinetic measures of C-peptide clearance. In addition, the participants were studied on 2 occasions in random order using an oral glucose tolerance test (OGTT). On one occasion, free fatty acid elevation, to cause insulin resistance, was achieved by infusion of Intralipid + heparin. The Disposition Index (DI) was then estimated by the oral minimal model using either population-based or individual C-peptide kinetics.

resultsThere were marked differences in the exchange variables (k

conclusionsThese data support the use of population-based measures of C-peptide kinetics to estimate β-cell function during an OGTT.

Indexed as

C-PeptideDiabetes Mellitus, Type 2FemaleGlucoseGlucose Tolerance TestGlycerolHormonesHumansInsulin ResistanceInsulin-Secreting CellsMaleMiddle AgedSolventsSomatostatinSweetening AgentsC-PeptideGlucoseGlycerolHormonesSolventsSomatostatinSweetening Agentsacute insulin resistanceC-peptide fractional clearancehepatic insulin extractioninsulin actioninsulin secretionβ-cell function

Identifiers

PMID28862812
PMCPMC5946313
OpenAlexW2753342065

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.