Evidence map›Paper›PMID 23978267›Full record

ArticleDiabetes technology & therapeutics2013

Pharmacokinetics modeling of exogenous glucagon in type 1 diabetes mellitus patients.

Dayu Lv, Marc D Breton, Leon S Farhy

Open access · greenAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Clinical Impact of Blood Glucose Monitoring Accuracy: An In-Silico Study.Journal of diabetes science and technology · 2017
    Article
  5. Design of a dual-hormone model predictive control for artificial pancreas with exercise model.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016
    Article
  6. Article
  7. Article
  8. The UVA/PADOVA Type 1 Diabetes Simulator: New Features.Journal of diabetes science and technology · 2014
    Article
  9. 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

3 authors at 1 institution in 1 country.

Dayu Lv1 Department of Psychiatry and Neurobehavioral Sciences, Department of Medicine, University of Virginia , Charlottesville, Virginia.
Marc D Breton
Leon S Farhy
University of Virginia · US

Funding

Improving intensive insulin therapy through the personalization of data-driven decision support system to patients’ goals and preferences and its adaptation to long term health needsR01DK051562 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI MARC D BRETON, Chiara Fabris · 1996 to 2026
$9.4M
Pancreatic endocrine network control of glucagon counterregulationR01DK082805 · NIDDK · UNIVERSITY OF VIRGINIA · PI FARHI, LEON S, MCCALL, ANTHONY L · 2010 to 2013
$1.3M
Introduction of Heart Rate Monitoring to the Closed-Loop Control of T1DMR21DK085641 · NIDDK · UNIVERSITY OF VIRGINIA · PI BRETON, MARC D · 2009 to 2010
$421k
NIDDK NIH HHS R01 DK051562NIDDK NIH HHS R01 DK082805NIDDK NIH HHS R21 DK085641
6 · The paper itself

Abstract

backgroundInsulin-induced hypoglycemia is as a critical barrier in the treatment of type 1 diabetes mellitus patients and may lead to unconsciousness, brain damage, or even death. Clinically, glucagon is used as a rescue drug to treat severe hypoglycemic episodes. More recently, in a bihormonal closed-loop glucose control, glucagon has been used subcutaneously along with insulin for protection against hypoglycemia. In this context, small doses of glucagon are frequently administered. The efficacy and safety of such systems, however, require precise information on the pharmacokinetics of the glucagon transport from the administrative site to the circulation, which is currently lacking. The goal of this work is to address this need by developing and validating a mathematical model of exogenous glucagon transport to the plasma. MATERIALS AND

methodsEight pharmacokinetic models with various levels of complexity were fitted to nine clinical datasets. An optimal model was chosen in two consecutive steps. At Step 1, all models were screened for parameter identifiability (discarding the unidentifiable candidates). At Step 2, the remaining models are compared based on Bayesian information criterion.

resultsAt Step 1, two models were removed for higher parameter fractional SDs. Another three were discarded for location of their optimal parameters on the parameter search boundaries. At Step 2, an optimal model was selected based on the Bayesian information criterion. It has a simple linear structure, assuming that glucagon is injected into one compartment, from where it enters a pool for a slower release into a third, plasma compartment. In the first and third compartments, glucagon is cleared at a rate proportional to its concentration.

conclusionsA linear kinetic model of glucagon intervention has been developed and validated. It is expected to provide guidance for glucagon delivery and the construction of preclinical simulation testing platforms.

Indexed as

AdultAlgorithmsBayes TheoremComputer SimulationDiabetes Mellitus, Type 1FemaleGlucagonHumansHypoglycemiaHypoglycemic AgentsInsulinMaleMonitoring, PhysiologicPancreas, ArtificialGlucagonHypoglycemic AgentsInsulin

Identifiers

PMID23978267
PMCPMC3818836
OpenAlexW2044540970

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.