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Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabet...

Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabet...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5092b2a8f0cc4c49bff826074adb1fd4

Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study

About this item

Full title

Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study

Publisher

New Zealand: Dove Medical Press Limited

Journal title

Diabetes, metabolic syndrome and obesity, 2021-01, Vol.14, p.2087-2101

Language

English

Formats

Publication information

Publisher

New Zealand: Dove Medical Press Limited

More information

Scope and Contents

Contents

The aim of this study was to derivate and validate a nomogram based on independent predictors to better evaluate the 5-year risk of T2D in non-obese adults.
This is a historical cohort study from a collection of databases that included 12,940 non-obese participants without diabetes at baseline. All participants were randomised to a derivation co...

Alternative Titles

Full title

Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5092b2a8f0cc4c49bff826074adb1fd4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5092b2a8f0cc4c49bff826074adb1fd4

Other Identifiers

ISSN

1178-7007

E-ISSN

1178-7007

DOI

10.2147/DMSO.S304994

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