Evidence map›Paper›PMID 20144358›Full record

ArticleJournal of diabetes science and technology2009

In silico preclinical trials: methodology and engineering guide to closed-loop control in type 1 diabetes mellitus.

Stephen D Patek, B Wayne Bequette, Marc Breton, Bruce A Buckingham, Eyal Dassau, Francis J Doyle, John Lum, Lalo Magni, Howard Zisser

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Modular closed-loop control of diabetes.IEEE transactions on bio-medical engineering · 2012
    Article
  20. Review
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

9 authors at 6 institutions in 2 countries.

Stephen D PatekDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia, USA. patek@virginia.edu
B Wayne Bequette
Marc Breton
Bruce A Buckingham
Eyal Dassau
Francis J Doyle
John Lum
Lalo Magni
Howard Zisser
University of California, Santa Barbara · USUniversity of Virginia · USJaeb Center for Health Research · USRensselaer Polytechnic Institute · USStanford University · USUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article sets forth guidelines for in silico (simulation-based) proof-of-concept testing of artificial pancreas control algorithms. The goal was to design a test procedure that can facilitate regulatory approval [e.g., Food and Drug Administration Investigational Device Exemption] for General Clinical Research Center experiments without preliminary testing on animals. The methodology is designed around a software package, based on a recent meal simulation model of the glucose-insulin system. Putting a premium on generality, this document starts by specifying a generic, rather abstract, meta-algorithm for control. The meta-algorithm has two main components: (1) patient assessment and tuning of control parameters, i.e., algorithmic processes for collection and processing patient data prior to closed-loop operation, and (2) controller warm-up and run-time operation, i.e., algorithmic processes for initializing controller states and managing blood glucose. The simulation-based testing methodology is designed to reveal the conceptual/mathematical operation of both main components, as applied to a large population of in silico patients with type 1 diabetes mellitus.

Indexed as

AlgorithmsComputer SimulationPancreas, ArtificialBlood GlucoseDiabetes Mellitus, Type 1FoodHumansInsulinInsulin Infusion SystemsBlood GlucoseInsulin

Identifiers

PMID20144358
PMCPMC2771529
OpenAlexW2126317824

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.