Evidence map›Paper›PMID 33653035›Full record

ArticleChaos (Woodbury, N.Y.)2021

Delay-induced uncertainty for a paradigmatic glucose-insulin model.

Bhargav Karamched, George Hripcsak, David Albers, William Ott

Abstract read
In one paragraph

Article in Chaos (Woodbury, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

4 authors.

Bhargav KaramchedDepartment of Mathematics and Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida 32306, USA.ORCID 0000000269267593
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, New York 10032, USA.ORCID 0000000326647614
David AlbersDepartment of Biomedical Informatics, Columbia University, New York, New York 10032, USA.ORCID 000000025369526X
William OttDepartment of Mathematics, University of Houston, Houston, Texas 77204, USA.ORCID 000000027119491X

Funding

DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
Mechanistic Machine LearningR01LM012734 · NLM · UNIVERSITY OF COLORADO DENVER · PI ALBERS, DAVID J., GLUCKMAN, BRUCE J · 2017 to 2019
$2.0M
Expanding the utility of transcriptional bacterial computingR01GM117138 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R., JOSIC, KRESIMIR · 2016 to 2019
$2.0M
NIGMS NIH HHS R01 GM117138NLM NIH HHS R01 LM006910NLM NIH HHS R01 LM012734
6 · The paper itself

Abstract

Medical practice in the intensive care unit is based on the assumption that physiological systems such as the human glucose-insulin system are predictable. We demonstrate that delay within the glucose-insulin system can induce sustained temporal chaos, rendering the system unpredictable. Specifically, we exhibit such chaos for the ultradian glucose-insulin model. This well-validated, finite-dimensional model represents feedback delay as a three-stage filter. Using the theory of rank one maps from smooth dynamical systems, we precisely explain the nature of the resulting delay-induced uncertainty (DIU). We develop a framework one may use to diagnose DIU in a general oscillatory dynamical system. For infinite-dimensional delay systems, no analog of the theory of rank one maps exists. Nevertheless, we show that the geometric principles encoded in our DIU framework apply to such systems by exhibiting sustained temporal chaos for a linear shear flow. Our results are potentially broadly applicable because delay is ubiquitous throughout mathematical physiology.

Indexed as

GlucoseInsulinFeedbackHumansUncertaintyGlucoseInsulin

Identifiers

PMID33653035
PMCPMC7910007

What Socratic 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 Socratic graph.