Evidence map›Paper›PMID 20936056›Full record

ArticleIEEE reviews in biomedical engineering2009

Diabetes: Models, Signals, and Control.

Claudio Cobelli, Chiara Dalla Man, Giovanni Sparacino, Lalo Magni, Giuseppe De Nicolao, Boris P Kovatchev

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in IEEE reviews in biomedical engineering, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04315545 (Pregnancy Outcomes and Maternal Insulin Sensitivity), which is not on this map. Cited by 132 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 1 pooled it
18.1field-weighted citation impact, top 1% 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.

NCT04315545 terminatednot on this mapstarted 2020, after this paper: background citation

Pregnancy Outcomes and Maternal Insulin Sensitivity

Typeobservational_patient_registrySponsorUniversity Medical Center GroningenRan2020 to 2024Enrolled30ConditionsGestational Diabetes, Other "Heavy-For-Dates" Infants, Small for Gestational Age Infant, Diabetes Mellitus, Type 2Armsmeal tolerance test
3 · Its place in the literature

Who cites it

132 citing papers in PubMed, 1 synthesis or guideline pooled it, 493 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Abnormal Glucagon Secretion Contributes to a Longitudinal Decline in Glucose Tolerance.The Journal of clinical endocrinology and metabolism · 2025
    Observational
  9. Article
  10. Artificial Pancreas: The First 20 Years.Journal of diabetes science and technology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Diabetes-associated Genetic Variation inJournal of the Endocrine Society · 2024
    Article
  16. Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article

72 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Claudio CobelliDepartment of Information Engineering, University of Padova, Via Gradenigo 6B, 35131 Padova, Italy.
Chiara Dalla Man
Giovanni Sparacino
Lalo Magni
Giuseppe De Nicolao
Boris P Kovatchev
University of Padua · ITUniversity of Pavia · ITUniversity 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
NIDDK NIH HHS R01 DK051562
6 · The paper itself

Abstract

The control of diabetes is an interdisciplinary endeavor, which includes a significant biomedical engineering component, with traditions of success beginning in the early 1960s. It began with modeling of the insulin-glucose system, and progressed to large-scale in silico experiments, and automated closed-loop control (artificial pancreas). Here, we follow these engineering efforts through the last, almost 50 years. We begin with the now classic minimal modeling approach and discuss a number of subsequent models, which have recently resulted in the first in silico simulation model accepted as substitute to animal trials in the quest for optimal diabetes control. We then review metabolic monitoring, with a particular emphasis on the new continuous glucose sensors, on the analyses of their time-series signals, and on the opportunities that they present for automation of diabetes control. Finally, we review control strategies that have been successfully employed in vivo or in silico, presenting a promise for the development of a future artificial pancreas and, in particular, discuss a modular architecture for building closed-loop control systems, including insulin delivery and patient safety supervision layers. We conclude with a brief discussion of the unique interactions between human physiology, behavioral events, engineering modeling and control relevant to diabetes.

Identifiers

PMID20936056
PMCPMC2951686
OpenAlexW2171613573

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.