Evidence map›Paper›PMID 33478257›Full record

ArticleJournal of diabetes science and technology2022

The Impact of Exogenous Insulin Input on Calculating Hepatic Clearance Parameters.

Alexander D McHugh, J Geoffrey Chase, Jennifer L Knopp, Jennifer J Ormsbee, Diana G Kulawiec, Troy L Merry, Rinki Murphy, Peter R Shepherd, Hannah J Burden, Paul D Docherty

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alexander D McHughCentre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0001-7964-7082
J Geoffrey ChaseCentre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Jennifer L KnoppCentre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0001-9343-3961
Jennifer J OrmsbeeCentre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.ORCID 0000-0002-8887-206X
Diana G KulawiecDepartment of Biomedical Engineering, Rochester Institute of Technology, Rochester, NY, USA.
Troy L MerryDiscipline of Nutrition, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Rinki MurphyDiscipline of Nutrition, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Peter R ShepherdDiscipline of Nutrition, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Hannah J BurdenDiscipline of Nutrition, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Paul D DochertyCentre for Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveModel-based metabolic tests require accurate identification of subject-specific parameters from measured assays. Insulin assays are used to identify insulin kinetics parameters, such as general and first-pass hepatic clearances. This study assesses the impact of intravenous insulin boluses on parameter identification precision.

methodInsulin and C-peptide data from two intravenous glucose tolerance test (IVGTT) trials of healthy adults (

resultsTrial B, without insulin modification, has optimal parameter regions 4.7 times larger on average than Trial A, with 1-U insulin bolus modification. Ranges of optimal parameter values between trials A and B increase from 0.04 to 0.12 min

conclusionsA small 1-U insulin bolus improves identification of hepatic clearance parameters by providing a smaller region of optimal parameter values. Adding an insulin bolus in metabolic tests can significantly improve identifiability and outcome test precision. Assay errors necessitate insulin modification in clinical tests to ensure identifiability and precision.

Indexed as

InsulinModels, BiologicalAdultComputer SimulationC-PeptideGlucose Tolerance TestHumansKineticsC-PeptideInsulinassay errorhepatic clearanceidentificationidentification errorinsulin kineticsinsulin modifiedIVGTT

Identifiers

PMID33478257
PMCPMC9264438

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.