Understanding diabetes heterogeneity: key steps towards precision medicine in diabetes-Reference-Cited by-同舟云学术

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Understanding diabetes heterogeneity: key steps towards precision medicine in diabetes

Published:2023-11 Issue:11 Volume:11 Page:848-860
ISSN:2213-8587
Container-title:The Lancet Diabetes & Endocrinology
language:en
Short-container-title:The Lancet Diabetes & Endocrinology

Author:

Leslie Richard David,Ma Ronald Ching Wan,Franks Paul W,Nadeau Kristen J,Pearson Ewan R,Redondo Maria Jose

Funder

European Research Council

European Union

Swedish Research Council

NIH

NIDDK

Publisher

Elsevier BV

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference111 articles.

1. IDF diabetes atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045;Sun;Diabetes Res Clin Pract,2022

2. IDF diabetes atlas;Magliano,2021

3. Type 1 diabetes in 2017: global estimates of incident and prevalent cases in children and adults;Green;Diabetologia,2021

4. Prevalence of diagnosed type 1 and type 2 diabetes among US adults in 2016 and 2017: population based study;Xu;BMJ,2018

5. Ethnic differences between Asians and non-Asians in clustering-based phenotype classification of adult-onset diabetes mellitus: a systematic narrative review;Varghese;Prim Care Diabetes,2022

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1. N6-methyladenine RNA methylation epigenetic modification and diabetic microvascular complications;Frontiers in Endocrinology;2024-09-04

2. Effects of combustible cigarettes and electronic nicotine delivery systems on immune cell‐driven inflammation: Evidences from diabetic patients and multiple low dose streptozotocin‐treated diabetic mice;Journal of Biochemical and Molecular Toxicology;2024-09

3. Islet autoantibody frequency in relatives of children with type 1 diabetes who have a type 2 diabetes diagnosis;Diabetic Medicine;2024-06-27

4. Recent Developments in MXene-Based Enzyme-Free Electrochemical Glucose Sensing;BioChip Journal;2024-06-25

5. Identifying subtypes of type 2 diabetes mellitus with machine learning: development, internal validation, prognostic validation and medication burden in linked electronic health records in 420 448 individuals;BMJ Open Diabetes Research & Care;2024-06

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