Accuracy of 1-Hour Plasma Glucose During the Oral Glucose Tolerance Test in Diagnosis of Type 2 Diabetes in Adults: A Meta-analysis
Year: 2021
Type: review
Study designs: Systematic Review, Meta-Analysis
Abstract: OBJECTIVE: One-hour plasma glucose (1-h PG) during the oral glucose tolerance test (OGTT) is an accurate predictor of type 2 diabetes. We performed a meta-analysis to determine the optimum cutoff of 1-h PG for detection of type 2 diabetes using 2-h PG as the gold standard. RESEARCH DESIGN AND METHODS: . We determined the optimal 1-h PG threshold and its accuracy at this cutoff for detection of diabetes (2-h PG ≥11.1 mmol/L) using a mixed linear effects regression model with different weights to sensitivity/specificity (2/3, 1/2, and 1/3). RESULTS: Three cutoffs of 1-h PG, at 10.6 mmol/L, 11.6 mmol/L, and 12.5 mmol/L, had sensitivities of 0.95, 0.92, and 0.87 and specificities of 0.86, 0.91, and 0.94 at weights 2/3, 1/2, and 1/3, respectively. The cutoff of 11.6 mmol/L (95% CI 10.6, 12.6) had a sensitivity of 0.92 (0.87, 0.95), specificity of 0.91 (0.88, 0.93), area under the curve 0.939 (95% confidence region for sensitivity at a given specificity: 0.904, 0.946), and a positive predictive value of 45%. CONCLUSIONS: The 1-h PG of ≥11.6 mmol/L during OGTT has a good sensitivity and specificity for detecting type 2 diabetes. Prescreening with a diabetes-specific risk calculator to identify high-risk individuals is suggested to decrease the proportion of false-positive cases. Studies including other ethnic groups and assessing complication risk are warranted.
Source: Diabetes Care
DOI: 10.2337/dc20-1688
Authors: Vasudha Ahuja, Pasi Aronen, T.A. Pramodkumar, Helen Looker, Angela Chetrit, Aini H. Bloigu, Auni Juutilainen, Cristina Bianchi, Lucia La Sala, Ranjit Mohan Anjana, Rajendra Pradeepa, Ulagamadesan Venkatesan, Sarvanan Jebarani, Viswanathan Baskar, Teresa Vanessa Fiorentino, Patrick Timpel, Ralph A. DeFronzo, Antonio Ceriello, Stefano Del Prato, Muhammad Abdul-Ghani, Sirkka Keinänen-Kiukaanniemi, Rachel Dankner, Peter H. Bennett, William C. Knowler, Peter Schwarz, Giorgio Sesti, Rie Oka, Viswanathan Mohan, Leif Groop, Jaakko Tuomilehto, Samuli Ripatti, Michael Bergman, Tiinamaija Tuomi
Institutions: University of Helsinki, Institute for Molecular Medicine Finland, Helsinki University Hospital, Madras Diabetes Research Foundation, Dr. Mohan's Diabetes Specialities Centre, National Institute of Diabetes and Digestive and Kidney Diseases, Israel National Institute for Health Policy Research, University of Oulu, University of Eastern Finland, Kuopio University Hospital, University of Pisa, Azienda Ospedaliera Universitaria Pisana, MultiMedica, Magna Graecia University, Technische Universität Dresden, The University of Texas at San Antonio Health Science Center, Tel Aviv University, Helmholtz Munich, German Center for Diabetes Research, University Hospital Carl Gustav Carus, Paul Langerhans Institute Dresden, Sapienza University of Rome, Lund University, King Abdulaziz University, Finnish Institute for Health and Welfare, Broad Institute, Harvard University, Massachusetts Institute of Technology, NYU Langone Health, New York University
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funder: Academy of Finland
Award: G3125548372
OpenAlex ID: W3136279629