Evidence mapPaperPMID 33588609Full record

ArticleJournal of diabetes science and technology2022

Variability in Estimated Modelled Insulin Secretion.

Jennifer J Ormsbee, Hannah J Burden, Jennifer L Knopp, J Geoffrey Chase, Rinki Murphy, Peter R Shepherd, Troy Merry

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Jennifer J OrmsbeeDepartment of Mechanical Engineering, Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0002-8887-206X
Hannah J BurdenDiscipline of Nutrition, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Jennifer L KnoppDepartment of Mechanical Engineering, Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0001-9343-3961
J Geoffrey ChaseDepartment of Mechanical Engineering, Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand.
Rinki MurphyDiscipline of Nutrition, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Peter R ShepherdDiscipline of Nutrition, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Troy MerryDiscipline of Nutrition, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to measure insulin secretion from pancreatic beta cells and monitor glucose-insulin physiology is vital to current health needs. C-peptide has been used successfully as a surrogate for plasma insulin concentration. Quantifying the expected variability of modelled insulin secretion will improve confidence in model estimates.

methodsForty-three healthy adult males of Māori or Pacific peoples ancestry living in New Zealand participated in an frequently sampled, intravenous glucose tolerance test (FS-IVGTT) with an average age of 29 years and a BMI of 33 kg/m

resultsLarger variation is found in subjects with a BMI > 30 kg/m

conclusionsUse of C-peptide measurements using a 2-compartment model and standardized kinetic parameters, one can expect ~±15% variation in modelled insulin secretion estimates. The variation should be considered when applying this insulin secretion estimation method to clinical diagnostic thresholds and interpretation of model-based analyses such as insulin sensitivity.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceAdultBlood GlucoseC-PeptideGlucose Tolerance TestHumansInsulinInsulin SecretionMaleBlood GlucoseC-PeptideInsulinglycemic controlinsulin secretioninsulin sensitivitymathematical modelvariability

Identifiers

PMID33588609
PMCPMC9294570

What Socratic 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 Socratic graph.