Literature DB >> 33526906

Clustering for a better prediction of type 2 diabetes mellitus.

Amélie Bonnefond1,2,3, Philippe Froguel4,5,6.   

Abstract

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Year:  2021        PMID: 33526906     DOI: 10.1038/s41574-021-00475-4

Source DB:  PubMed          Journal:  Nat Rev Endocrinol        ISSN: 1759-5029            Impact factor:   43.330


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  1 in total

1.  Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes.

Authors:  Robert Wagner; Martin Heni; Adam G Tabák; Jürgen Machann; Fritz Schick; Elko Randrianarisoa; Martin Hrabě de Angelis; Andreas L Birkenfeld; Norbert Stefan; Andreas Peter; Hans-Ulrich Häring; Andreas Fritsche
Journal:  Nat Med       Date:  2021-01-04       Impact factor: 53.440

  1 in total
  2 in total

1.  New clusters of serum electrolytes aid in stratification of diabetes and metabolic risk.

Authors:  Yanan Hou; Jiali Xiang; Huajie Dai; Tiange Wang; Mian Li; Hong Lin; Shuangyuan Wang; Yu Xu; Jieli Lu; Yuhong Chen; Weiqing Wang; Guang Ning; Zhiyun Zhao; Yufang Bi; Min Xu
Journal:  J Diabetes       Date:  2021-12-28       Impact factor: 4.530

2.  Characterization of data-driven clusters in diabetes-free adults and their utility for risk stratification of type 2 diabetes.

Authors:  Diego Yacamán Méndez; Minhao Zhou; Ylva Trolle Lagerros; Donaji V Gómez Velasco; Per Tynelius; Hrafnhildur Gudjonsdottir; Antonio Ponce de Leon; Katarina Eeg-Olofsson; Claes-Göran Östenson; Boel Brynedal; Carlos A Aguilar Salinas; David Ebbevi; Anton Lager
Journal:  BMC Med       Date:  2022-10-18       Impact factor: 11.150

  2 in total

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