Differential Treatment Effects on β-Cell Function Using Model-Based Parameters in Type 2 Diabetes: Results From the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE).
Trial report in Diabetes care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT01794143. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
18 authors.
Kristina M UtzschneiderDivision of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA.ORCID 0000-0002-4924-196X
Mark TripputiThe Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.
Nicole M ButeraThe Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0000-0002-8901-3881
Andrea MariInstitute of Neuroscience, National Research Council, Padova, Italy.ORCID 0000-0002-1436-5591
Samuel P RosinThe Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.
Mary Ann BanerjiDivision of Endocrinology and Department of Medicine, State University of New York Downstate Medical Center and Kings County Hospital, Brooklyn, NY.ORCID 0009-0004-4500-6059
Richard M BergenstalInternational Diabetes Center, HealthPartners Institute, Minneapolis, MN.ORCID 0000-0002-9050-5584
Necole BrownDivision of Endocrinology and Department of Medicine, State University of New York Downstate Medical Center and Kings County Hospital, Brooklyn, NY.
Anders L CarlsonInternational Diabetes Center, HealthPartners Institute, Minneapolis, MN.
Ralph A DeFronzoUniversity of Texas Health Science Center, San Antonio, TX.ORCID 0000-0002-8581-6273
Michaela R GramzinskiThe Biostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0009-0001-1662-7196
Tasma HarindhanavudhiUniversity of Minnesota, Minneapolis, MN.
Alexandra KozedubSeattle Institute for Biomedical and Clinical Research, Seattle, WA.
William I SivitzDepartment of Internal Medicine, University of Iowa, Iowa City, IA.ORCID 0000-0002-7829-0189
Michael W SteffesAdvanced Research and Diagnostic Laboratory, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN.
Ashok BalasubramanyamDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX.ORCID 0000-0003-2093-5201
Neda RasouliDivision of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, and VA Eastern Colorado Health Care, Denver, CO.ORCID 0000-0003-1269-3580
GRADE Research Group
Funding
Continuation of the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness (GRADE) StudyU01DK098246 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI Heidi Krause-Steinrauf, JOHN M LACHIN · 2021 to 2022
$21.0M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · 1986 to 2025
$12.6M
Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR002243 · VANDERBILT UNIVERSITY MEDICAL CENTER · 2025 to 2025
$10.7M
Washington University Institute of Clinical and Translational SciencesUL1TR002345 · WASHINGTON UNIVERSITY · 2025 to 2025
$9.3M
Georgia Clinical & Translational Science Alliance (Georgia CTSA)UL1TR002378 · EMORY UNIVERSITY · 2025 to 2025
$9.3M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages for Everyone's Health (CLE Health)UM1TR004528 · CASE WESTERN RESERVE UNIVERSITY · 2025 to 2025
$7.9M
Pilot and Feasibility ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2022 to 2025
$4.9M
Louisiana Clinical and Translational Science CenterU54GM104940 · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · 2025 to 2025
$3.9M
NYR-Diabetes Research Center (NYR-DRC)P30DK020541 · ALBERT EINSTEIN COLLEGE OF MEDICINE · 2025 to 2025
$2.4M
Pilot and Feasibility ProgramP30DK072476 · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · 2005 to 2025
$2.2M
UAB Diabetes Research CenterP30DK079626 · UNIVERSITY OF ALABAMA AT BIRMINGHAM · 2025 to 2025
$1.3M
Pilot and Feasibility ProgramP30DK092926 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
objectiveTo evaluate how model-based parameters of β-cell function change with glucose-lowering treatment and associate with glycemic deterioration in adults with type 2 diabetes (T2D). RESEARCH DESIGN AND
methodsIn the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE), β-cell function parameters derived from mathematical modeling of oral glucose tolerance tests were assessed at baseline (N = 4,712) and 1, 3, and 5 years following randomization to insulin glargine, glimepiride, liraglutide, or sitagliptin, added to baseline metformin. Parameters included insulin secretion rate (ISR), glucose sensitivity (insulin response to glucose), rate sensitivity (early insulin response), and potentiation. Linear mixed-effects models were used to compare changes across treatments. With Cox proportional hazards and Classification And Regression Tree (CART) analyses we evaluated associations between model parameters and glycemic failure (A1C >7.5%; 58.5 mmol/mol).
resultsβ-Cell function parameters increased variably at year 1 across treatments but subsequently declined for all treatments. Statistically significant changes were noted. Liraglutide led to the greatest increases in ISR, glucose sensitivity and potentiation, remaining above baseline at study end. Sitagliptin improved glucose sensitivity, with modest effects on other parameters. Glimepiride temporarily increased ISR and rate sensitivity but minimally increased glucose sensitivity or potentiation. Rate sensitivity increased most with glargine. Higher β-cell function parameters were protective against glycemic deterioration, but treatment did not alter the relationship between these parameters and glycemic outcomes.
conclusionsCommon glucose-lowering medications impact different physiologic components of β-cell function in T2D. Regardless of treatment modality, lower β-cell function associated with early glycemic failure, and β-cell function progressively declined after initial improvement.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.
Differential Treatment Effects on β-Cell Function Using Model-Based Parameters in Type 2 Diabetes: Results From the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). · full record | Socratic