Evidence map›Paper›PMID 34032128›Full record

ArticleJournal of diabetes science and technology2022

Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.

Claudio Cobelli, Chiara Dalla Man

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. SAAM II: A general mathematical modeling rapid prototyping environment.CPT: pharmacometrics & systems pharmacology · 2024
    Article
  4. Article
  5. Review
  6. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Claudio CobelliDepartment of Woman and Child's Health University of Padova, Padova, Italy.ORCID 0000-0002-0169-6682
Chiara Dalla ManDepartment of Information Engineering, University of Padova, Padova, Italy.ORCID 0000-0002-4908-0596
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several models have been proposed to describe the glucose system at whole-body, organ/tissue and cellular level, designed to measure non-accessible parameters (minimal models), to simulate system behavior and run in silico clinical trials (maximal models). Here, we will review the authors' work, by putting it into a concise historical background. We will discuss first the parametric portrait provided by the

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceAlgorithmsBlood GlucoseComputer SimulationGlucoseHumansInsulinModels, BiologicalBlood GlucoseGlucoseInsulindiabetesin silico simulationinsulin actioninsulin secretionmultiscale modelingstabilized tracers

Identifiers

PMID34032128
PMCPMC9445339
OpenAlexW3164736932

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.