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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11237237 | PMC |
| http://dx.doi.org/10.1370/afm.3093 | DOI Listing |
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Is Prediabetes Overdiagnosed? Yes: A Patient-Epidemiologist's Experience.
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Is Prediabetes Overdiagnosed? No: A Clinician's Perspective.
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Effect of biological variation in HbA1c and blood glucose on the diagnosis of prediabetes.
Endocrinol Diabetes Metab
September 2023
Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA.
Introduction: People with a low or high haemoglobin glycation index (HGI) have lower or higher HbA1c than other people with the same FPG. This study compared the prevalence of prediabetes based on FPG, 2hOGTT and HbA1c in people with low, moderate or high HGI.
Methods: Prediabetes was diagnosed based on ADA cutpoints in 10,488 NHANES participants without self-reported diabetes.
Assessing racial bias in type 2 diabetes risk prediction algorithms.
PLOS Glob Public Health
May 2023
Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PRT) issued by the National Diabetes Prevention Program, and two prognostic models, the Framingham Offspring Risk Score, and the ARIC Model, demonstrate racial bias between non-Hispanic Whites and non-Hispanic Blacks.
View Article and Find Full Text PDFSimulations found within-subject measurement variation in glycaemic measures may cause overdiagnosis of prediabetes and diabetes.
J Clin Epidemiol
May 2022
Sydney School of Public Health, Sydney Medical School, Faculty of Medicine and Health, The University of Sydney, New South Wales 2006, Australia. Electronic address:
Objective: To determine the impact of test measurement variation on misclassification of prediabetes and diabetes in the US adult population.
Study Design And Setting: Data from adults with no prior diagnosis of diabetes in the 2015 to 2016 National Health and Nutrition Examination Survey (NHANES) were used to simulate populations of US adults eligible for screening. Estimates of measurement variation were applied to each simulated individual's true values to generate observed values for up to five repeated screens.
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