Literature DB >> 27457638

"Prediabetes": Are There Problems With This Label? Yes, the Label Creates Further Problems!

John S Yudkin1.   

Abstract

The category of "prediabetes" defined by the American Diabetes Association comprises a range of intermediate hyperglycemia based on fasting or 2-h postload glucose or on HbA1c Over the recent past, the "cut points" identifying this stage have changed, i.e., a lower fasting glucose level is used. On one hand, it can be argued that the change to a lower cut point identifies a group of individuals still at higher risk and provides heightened awareness for a condition associated with higher risk for cardiovascular disease. In addition, identification of individuals at this stage may represent a chance of earlier intervention in the disease. However, the argument against this definition of "prediabetes" is that it disguises the differences in the three subcategories and creates problems in interpreting observations on interventions and outcomes. In addition, it can be argued that the enormous numbers of people identified with the criteria far exceeds the capacity of health care systems to respond through individual care, particularly without evidence that interventions benefit any category other than impaired glucose tolerance. Thus, there does not appear to be consensus on the definition using the cut points identified. Controversy also remains as to whether there are glycemic metrics beyond HbA1c that can be used in addition to HbA1c to help assess risk of an individual developing diabetes complications. Given the current controversy, a Point-Counterpoint debate on this issue is provided herein. In the point narrative below, Dr. Yudkin provides his argument that there are significant problems with this label. In the counterpoint narrative that follows Dr. Yudkin's contribution, Dr. Cefalu argues that the cut points are appropriate and do provide useful and important information in trying to reduce the future burden of diabetes.-William T. CefaluEditor in Chief, Diabetes Care.
© 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2016        PMID: 27457638     DOI: 10.2337/dc15-2113

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  20 in total

Review 1.  Metabolic Vascular Syndrome: New Insights into a Multidimensional Network of Risk Factors and Diseases.

Authors:  Gerhard H Scholz; Markolf Hanefeld
Journal:  Visc Med       Date:  2016-10-07

2.  ANTI-THYROID ANTIBODIES AND THE GONADOTROPHINS PROFILE (LH/FSH) IN EUTHYROID POLYCYSTIC OVARIAN SYNDROME WOMEN.

Authors:  M Sharma; A Modi; M Goyal; P Sharma; P Purohit
Journal:  Acta Endocrinol (Buchar)       Date:  2022 Jan-Mar       Impact factor: 1.104

3.  Salivary Biomarkers as Predictors of Obesity and Intermediate Hyperglycemia in Adolescents.

Authors:  Hend Alqaderi; Fahad Hegazi; Fahd Al-Mulla; Chung-Jung Chiu; Alpdogan Kantarci; Ebaa Al-Ozairi; Mohamed Abu-Farha; Saadoun Bin-Hasan; Aishah Alsumait; Jehad Abubaker; Sriraman Devarajan; J Max Goodson; Hatice Hasturk; Mary Tavares
Journal:  Front Public Health       Date:  2022-06-10

4.  Risk of Cardiovascular Disease and Death in Individuals With Prediabetes Defined by Different Criteria: The Whitehall II Study.

Authors:  Dorte Vistisen; Daniel R Witte; Eric J Brunner; Mika Kivimäki; Adam Tabák; Marit E Jørgensen; Kristine Færch
Journal:  Diabetes Care       Date:  2018-02-16       Impact factor: 19.112

5.  A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Authors:  Kushan De Silva; Daniel Jönsson; Ryan T Demmer
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

6.  Regression from prediabetes to normal glucose levels is more frequent than progression towards diabetes: The CRONICAS Cohort Study.

Authors:  Maria Lazo-Porras; Antonio Bernabe-Ortiz; Andrea Ruiz-Alejos; Liam Smeeth; Robert H Gilman; William Checkley; German Málaga; J Jaime Miranda
Journal:  Diabetes Res Clin Pract       Date:  2019-08-26       Impact factor: 5.602

7.  Baseline Characteristics of the Vitamin D and Type 2 Diabetes (D2d) Study: A Contemporary Prediabetes Cohort That Will Inform Diabetes Prevention Efforts.

Authors:  Erin S LeBlanc; Richard E Pratley; Bess Dawson-Hughes; Myrlene A Staten; Patricia R Sheehan; Michael R Lewis; Anne Peters; Sun H Kim; Ranee Chatterjee; Vanita R Aroda; Chhavi Chadha; Lisa M Neff; Irwin G Brodsky; Clifford Rosen; Cyrus V Desouza; John P Foreyt; Daniel S Hsia; Karen C Johnson; Philip Raskin; Sangeeta R Kashyap; Patrick O'Neil; Lawrence S Phillips; Neda Rasouli; Emilia P Liao; David C Robbins; Anastassios G Pittas
Journal:  Diabetes Care       Date:  2018-06-25       Impact factor: 19.112

8.  Assessing impaired fasting blood glucose criteria for high-risk dysglycaemic populations: an experience from a European population state.

Authors:  Sarah Cuschieri; Stephan Grech
Journal:  J Diabetes Metab Disord       Date:  2020-06-13

9.  Diabetes Care: "Taking It to the Limit One More Time".

Authors:  William T Cefalu; Andrew J M Boulton; William V Tamborlane; Robert G Moses; Derek LeRoith; Eddie L Greene; Frank B Hu; George Bakris; Judith Wylie-Rosett; Julio Rosenstock; Steven E Kahn; Katie Weinger; Lawrence Blonde; Mary de Groot; Stephen Rich; David D'Alessio; Lyn Reynolds; Matthew C Riddle
Journal:  Diabetes Care       Date:  2017-01       Impact factor: 19.112

10.  Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.

Authors:  Bernd Richter; Bianca Hemmingsen; Maria-Inti Metzendorf; Yemisi Takwoingi
Journal:  Cochrane Database Syst Rev       Date:  2018-10-29
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