Evidence map›Paper›PMID 23842097›Full record

ArticleCPT: pharmacometrics & systems pharmacology2013

The impact of mathematical modeling on the understanding of diabetes and related complications.

I Ajmera, M Swat, C Laibe, N Le Novère, V Chelliah

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 152 citations in OpenAlex.

  1. Pooled it
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  11. Analysis of wearable time series data in endocrine and metabolic research.Current opinion in endocrine and metabolic research · 2022
    Review
  12. Examining Type 1 Diabetes Mathematical Models Using Experimental Data.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
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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

5 authors at 3 institutions in 2 countries.

I Ajmera1] BioModels Group, EMBL - European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK [2] Multidiscipinary Centre for Integrative Biology (MyCIB), School of Biosciences, University of Nottingham, Loughborough, UK.
M Swat
C Laibe
N Le Novère
V Chelliah
European Bioinformatics Institute · GBBabraham Institute · GBWellcome Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is a chronic and complex multifactorial disease caused by persistent hyperglycemia and for which underlying pathogenesis is still not completely understood. The mathematical modeling of glucose homeostasis, diabetic condition, and its associated complications is rapidly growing and provides new insights into the underlying mechanisms involved. Here, we discuss contributions to the diabetes modeling field over the past five decades, highlighting the areas where more focused research is required.CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e54; doi:10.1038/psp.2013.30; advance online publication 10 July 2013.

Identifiers

PMID23842097
PMCPMC3731829
OpenAlexW1994751336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.