Longitudinal changes in blood biomarkers and their ability to predict type 2 diabetes mellitus—The Tromsø study-Reference-Cited by-同舟云学术

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Longitudinal changes in blood biomarkers and their ability to predict type 2 diabetes mellitus—The Tromsø study

Published:2022-02-11 Issue:2 Volume:5 Page:
ISSN:2398-9238
Container-title:Endocrinology, Diabetes & Metabolism
language:en
Short-container-title:Endocrino Diabet & Metabol

Author:

Allaoui Giovanni¹²,Rylander Charlotta³,Averina Maria¹³,Wilsgaard Tom³,Fuskevåg Ole‐Martin¹,Berg Vivian¹²^ORCID

Affiliation:

1. Division of Diagnostic Services Department of Laboratory Medicine University Hospital of North Norway Tromsø Norway

2. Department of Medical Biology Faculty of Health Sciences UiT‐The Arctic University of Norway Tromsø Norway

3. Department of Community Medicine Faculty of Health Sciences UIT‐The Arctic University of Norway Tromsø Norway

Funder

Helse Nord RHF

Publisher

Wiley

Subject

Endocrinology, Diabetes and Metabolism

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/edm2.325

Reference57 articles.

1. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants

2. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications

3. The potential for a two-stage diabetes risk algorithm combining non-laboratory-based scores with subsequent routine non-fasting blood tests: results from prospective studies in older men and women

4. A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature

5. Three-year increase of gamma-glutamyltransferase level and development of type 2 diabetes in middle-aged men and women: the D.E.S.I.R. cohort

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1. Diabetes Modulates Iodothyronine Deiodinase 2 Expression in the Mouse Retina: A Role for Thyroid Hormone in the Pathogenesis of Diabetic Retinopathy;Investigative Opthalmology & Visual Science;2023-12-01

2. Artificial intelligence with temporal features outperforms machine learning in predicting diabetes;PLOS Digital Health;2023-10-25

3. Predictive model of diabetes mellitus in patients with idiopathic inflammatory myopathies;Frontiers in Endocrinology;2023-04-17

4. Longitudinal changes in vitamin D concentrations and the association with type 2 diabetes mellitus: the Tromsø Study;Acta Diabetologica;2022-12-02

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