Evidence map›Paper›PMID 26608654›Full record

ArticleAmerican journal of physiology. Regulatory, integrative and comparative physiology2016

Human insulin dynamics in women: a physiologically based model.

Michael Weiss, Andrea Tura, Alexandra Kautzky-Willer, Giovanni Pacini, David Z D'Argenio

Abstract read
In one paragraph

Article in American journal of physiology. Regulatory, integrative and comparative physiology, 2016. 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. The Genetics of Diabetes: What We Can Learn fromInternational journal of molecular sciences · 2021
    Review
  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

5 authors.

Michael WeissDepartment of Pharmacology, Martin Luther University, Halle-Wittenberg, Halle, Germany; michael.weiss@medizin.uni-halle.de.
Andrea TuraMetabolic Unit, National Research Council Neuroscience Institute, Padova, Italy;
Alexandra Kautzky-WillerGender Medicine, Medical University of Vienna, Vienna, Austria; and.
Giovanni PaciniMetabolic Unit, National Research Council Neuroscience Institute, Padova, Italy;
David Z D'ArgenioDepartment of Biomedical Engineering, University of Southern California, Los Angeles, California.

Funding

TrainingP41EB001978 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KHOO, MICHAEL C K · 2003 to 2017
$18.1M
NIBIB NIH HHS P41 EB001978NIBIB NIH HHS P41-EB001978
6 · The paper itself

Abstract

Currently available models of insulin dynamics are mostly based on the classical compartmental structure and, thus, their physiological utility is limited. In this work, we describe the development of a physiologically based model and its application to data from 154 patients who underwent an insulin-modified intravenous glucose tolerance test (IM-IVGTT). To determine the time profile of endogenous insulin delivery without using C-peptide data and to evaluate the transcapillary transport of insulin, the hepatosplanchnic, renal, and peripheral beds were incorporated into the circulatory model as separate subsystems. Physiologically reasonable population mean estimates were obtained for all estimated model parameters, including plasma volume, interstitial volume of the peripheral circulation (mainly skeletal muscle), uptake clearance into the interstitial space, hepatic and renal clearance, as well as total insulin delivery into plasma. The results indicate that, at a population level, the proposed physiologically based model provides a useful description of insulin disposition, which allows for the assessment of muscle insulin uptake.

Indexed as

Models, BiologicalAnimalsBiomarkersBlood GlucoseCase-Control StudiesDiabetes, GestationalFemaleGlucose Tolerance TestHepatobiliary EliminationHumansInsulinKidneyKineticsLiverMuscle, SkeletalPregnancyBiomarkersBlood GlucoseInsulincirculatory modelinsulin deliveryinsulin transportintravenous glucose testpopulation analysis

Identifiers

PMID26608654
PMCPMC4796751

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.