Evidence map›Paper›PMID 23865841›Full record

ArticleDiabetes technology & therapeutics2013

In silico design of optimal ratio for co-administration of pramlintide and insulin in type 1 diabetes.

Francesco Micheletto, Chiara Dalla Man, Orville Kolterman, Elaine Chiquette, Kathrin Herrmann, Jörg Schirra, Boris Kovatchev, Claudio Cobelli

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Clinical Impact of Blood Glucose Monitoring Accuracy: An In-Silico Study.Journal of diabetes science and technology · 2017
    Article
  5. Future of Automated Insulin Delivery Systems.Diabetes technology & therapeutics · 2017
    Review
  6. Article
  7. Article
  8. 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

8 authors at 4 institutions in 4 countries.

Francesco Micheletto1 Department of Information Engineering, University of Padova , Padova, Italy .
Chiara Dalla Man
Orville Kolterman
Elaine Chiquette
Kathrin Herrmann
Jörg Schirra
Boris Kovatchev
Claudio Cobelli
Bristol-Myers Squibb (Germany) · DEUniversity of Padua · ITLudwig-Maximilians-Universität München · DEUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability to simulate in silico experiments is crucial for fast and cost-effective preliminary studies prior to clinical trials. We present an in silico approach to the design of optimal pramlintide-to-insulin (P/I) ratios, using our computer simulator of the human metabolic system, with a population of virtual adult type 1 diabetes mellitus patients and with individual parameters modified to account for the dynamic effects of pramlintide. MATERIALS AND

methodsA model of pramlintide action on gastric emptying was built using data of 15 type 1 diabetes mellitus subjects studied twice with a standardized dual-tracer meal on placebo and pramlintide, which was incorporated in our type 1 diabetes simulator. Extensive in silico experiments on 100 virtual subjects were performed to optimize the co-administration of pramlintide and insulin prior to its submission to clinical trials; several P/I ratios were tested in terms of efficacy, in attenuating postprandial hyperglycemia, and in hypoglycemia safety.

resultsIn silico experiments estimated the optimal P/I ratio to be 9 μg of pramlintide per unit (U) of insulin. Additional simulations narrowing the investigated range indicated that P/I ratios of 8 and 10 μg/U would achieve similar performance. Moreover, simulation results suggested that in clinical trials, insulin boluses should be reduced by approximately 21% at a P/I ratio of 9 μg/U to account for the effects of pramlintide and avoid postprandial hypoglycemia.

conclusionsWe can assert that a valid simulation model of pramlintide action was developed, leading to in silico estimation of optimal pramlintide:insulin co-administration ratio. Clinical trials will confirm (or adjust) this initial estimation.

Indexed as

Computer SimulationBlood GlucoseDiabetes Mellitus, Type 1Drug Therapy, CombinationFemaleGastric EmptyingHumansHypoglycemiaHypoglycemic AgentsInsulinIslet Amyloid PolypeptideMalePostprandial PeriodTime FactorsTreatment OutcomeBlood GlucoseHypoglycemic AgentsInsulinIslet Amyloid Polypeptidepramlintide

Identifiers

PMID23865841
PMCPMC3781117
OpenAlexW2044330719

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.