Evidence map›Paper›PMID 38702680›Full record

ArticleCardiovascular diabetology2024

Insulin sensitivity estimates and their longitudinal association with coronary artery disease in type 1 diabetes. Does it matter?

Stefan Mutter, Erika B Parente, Andrzej S Januszewski, Johan R Simonsen, Valma Harjutsalo, Per-Henrik Groop, Alicia J Jenkins, Lena M Thorn, FinnDiane Study Group

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

9 authors.

Stefan MutterFolkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.
Erika B ParenteFolkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.
Andrzej S JanuszewskiSydney Pharmacy School, University of Sydney, A15, Science Rd, Camperdown, NSW, 2050, Australia.
Johan R SimonsenFolkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.
Valma HarjutsaloFolkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.
Per-Henrik GroopFolkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland. per-henrik.groop@helsinki.fi.
Alicia J Jenkins *NHMRC Clinical Trials Centre, University of Sydney, K25, Parramatta Rd, Camperdown, NSW, 2050, Australia.
Lena M Thorn *Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland.
FinnDiane Study Group

Funding

Helsinki University Hospital TYH2023403
6 · The paper itself

Abstract

backgroundInsulin resistance and chronic kidney disease are both associated with increased coronary artery disease risk. Many formulae estimating glucose disposal rate in type 1 diabetes infer insulin sensitivity from clinical data. We compare associations and performance relative to traditional risk factors and kidney disease severity between three formulae estimating the glucose disposal rate and coronary artery disease in people with type 1 diabetes.

methodsThe baseline glucose disposal rate was estimated by three (Williams, Duca, and Januszewski) formulae in FinnDiane Study participants and related to subsequent incidence of coronary artery disease, by baseline kidney status.

resultsIn 3517 adults with type 1 diabetes, during median (IQR) 19.3 (14.6, 21.4) years, 539 (15.3%) experienced a coronary artery disease event, with higher rates with worsening baseline kidney status. Correlations between the three formulae estimating the glucose disposal rate were weak, but the lowest quartile of each formula was associated with higher incidence of coronary artery disease. Importantly, only the glucose disposal rate estimation by Williams showed a linear association with coronary artery disease risk in all analyses. Of the three formulae, Williams was the strongest predictor of coronary artery disease. Only age and diabetes duration were stronger predictors. The strength of associations between estimated glucose disposal rate and CAD incidence varied by formula and kidney status.

conclusionsIn type 1 diabetes, estimated glucose disposal rates are associated with subsequent coronary artery disease, modulated by kidney disease severity. Future research is merited regarding the clinical usefulness of estimating the glucose disposal rate as a coronary artery disease risk factor and potential therapeutic target.

Indexed as

BiomarkersBlood GlucoseCoronary Artery DiseaseDiabetes Mellitus, Type 1Insulin ResistanceAdultDiabetic NephropathiesFemaleFinlandHumansIncidenceInsulinKidneyLongitudinal StudiesMaleMiddle AgedBiomarkersBlood GlucoseInsulinCardiovascular diseasesCoronary artery diseaseInsulin resistanceKidney diseaseType 1 diabetes mellitus

Identifiers

PMID38702680
PMCPMC11069169

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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.