Literature DB >> 33705389

Towards precision medicine in diabetes? A critical review of glucotypes.

Adam Hulman1, Yuri D Foreman2,3, Martijn C G J Brouwers2,3, Abraham A Kroon2,3, Koen D Reesink3, Pieter C Dagnelie2,3, Carla J H van der Kallen2,3, Marleen M J van Greevenbroek2,3, Kristine Færch4,5, Dorte Vistisen4, Marit E Jørgensen4,6, Coen D A Stehouwer2,3, Daniel R Witte1,7.   

Abstract

In response to a study previously published in PLOS Biology, this Formal Comment thoroughly examines the concept of 'glucotypes' with regard to its generalisability, interpretability and relationship to more traditional measures used to describe data from continuous glucose monitoring.

Entities:  

Mesh：

Substances：

Year:  2021        PMID： 33705389      PMCID： PMC7951846          DOI： 10.1371/journal.pbio.3000890

Source DB:  PubMed          Journal:  PLoS Biol        ISSN： 1544-9173            Impact factor:   8.029


  14 in total

1.  Pathophysiological Characteristics Underlying Different Glucose Response Curves: A Latent Class Trajectory Analysis From the Prospective EGIR-RISC Study.

Authors:  Adam Hulman; Daniel R Witte; Dorte Vistisen; Beverley Balkau; Jacqueline M Dekker; Christian Herder; Mensud Hatunic; Thomas Konrad; Kristine Færch; Melania Manco
Journal:  Diabetes Care       Date:  2018-05-31       Impact factor: 19.112

2.  Glucose dysregulation phenotypes - time to improve outcomes.

Authors:  Francesco Zaccardi; Kamlesh Khunti
Journal:  Nat Rev Endocrinol       Date:  2018-11       Impact factor: 43.330

3.  Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables.

Authors:  Emma Ahlqvist; Petter Storm; Annemari Käräjämäki; Mats Martinell; Mozhgan Dorkhan; Annelie Carlsson; Petter Vikman; Rashmi B Prasad; Dina Mansour Aly; Peter Almgren; Ylva Wessman; Nael Shaat; Peter Spégel; Hindrik Mulder; Eero Lindholm; Olle Melander; Ola Hansson; Ulf Malmqvist; Åke Lernmark; Kaj Lahti; Tom Forsén; Tiinamaija Tuomi; Anders H Rosengren; Leif Groop
Journal:  Lancet Diabetes Endocrinol       Date:  2018-03-05       Impact factor: 32.069

4.  Gene-Environment Interaction in the Era of Precision Medicine.

Authors:  Jingjing Li; Xiao Li; Sai Zhang; Michael Snyder
Journal:  Cell       Date:  2019-03-21       Impact factor: 41.582

5.  Glucose Variability Assessed with Continuous Glucose Monitoring: Reliability, Reference Values, and Correlations with Established Glycemic Indices-The Maastricht Study.

Authors:  Yuri D Foreman; Martijn C G J Brouwers; Carla J H van der Kallen; Demi M E Pagen; Marleen M J van Greevenbroek; Ronald M A Henry; Annemarie Koster; Anke Wesselius; Nicolaas C Schaper; Coen D A Stehouwer
Journal:  Diabetes Technol Ther       Date:  2020-01-17       Impact factor: 6.118

Review 6.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

7.  Protocol for a randomised controlled trial of the effect of dapagliflozin, metformin and exercise on glycaemic variability, body composition and cardiovascular risk in prediabetes (the PRE-D Trial).

Authors:  Kristine Færch; Hanan Amadid; Lea Bruhn Nielsen; Mathias Ried-Larsen; Kristian Karstoft; Frederik Persson; Marit Eika Jørgensen
Journal:  BMJ Open       Date:  2017-06-06       Impact factor: 2.692

8.  A Global Overview of Precision Medicine in Type 2 Diabetes.

Authors:  Hugo Fitipaldi; Mark I McCarthy; Jose C Florez; Paul W Franks
Journal:  Diabetes       Date:  2018-10       Impact factor: 9.461

9.  Framework to construct and interpret latent class trajectory modelling.

Authors:  Hannah Lennon; Scott Kelly; Matthew Sperrin; Iain Buchan; Amanda J Cross; Michael Leitzmann; Michael B Cook; Andrew G Renehan
Journal:  BMJ Open       Date:  2018-07-07       Impact factor: 2.692

10.  Disease progression and treatment response in data-driven subgroups of type 2 diabetes compared with models based on simple clinical features: an analysis using clinical trial data.

Authors:  John M Dennis; Beverley M Shields; William E Henley; Angus G Jones; Andrew T Hattersley
Journal:  Lancet Diabetes Endocrinol       Date:  2019-04-29       Impact factor: 44.867
View more
  1 in total

1.  TyGIS: improved triglyceride-glucose index for the assessment of insulin sensitivity during pregnancy.

Authors:  Benedetta Salvatori; Tina Linder; Daniel Eppel; Micaela Morettini; Laura Burattini; Christian Göbl; Andrea Tura
Journal:  Cardiovasc Diabetol       Date:  2022-10-18       Impact factor: 8.949
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.