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Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametri...

Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametri...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f788b9f6e961429399c767e9d3dd4571

Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametric analysis

About this item

Full title

Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametric analysis

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2022-11, Vol.12 (1), p.20653-20653, Article 20653

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Type 2 diabetes mellitus (T2DM) is associated with the development of chronic comorbidities, which can lead to high drug utilization and adverse events. We aimed to identify common comorbidity clusters and explore the progression over time in newly treated T2DM patients. The IQVIA Medical Research Data incorporating data from THIN, a Cegedim databa...

Alternative Titles

Full title

Comorbidity clusters associated with newly treated type 2 diabetes mellitus: a Bayesian nonparametric analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f788b9f6e961429399c767e9d3dd4571

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f788b9f6e961429399c767e9d3dd4571

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-022-24217-2

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