Evidence mapPaperPMID 41557987Full record

Trial reportDiabetes care2026

Medication Adherence in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE).

Jeffrey S Gonzalez, Hui Wen, Nicole M Butera, Diane Uschner, Heidi Krause-Steinrauf, Michaela R Gramzinski, Deborah J Wexler, Helen Petrovitch, Claire J Hoogendoorn, Gladys Crespo-Ramos and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

16 authors.

Jeffrey S GonzalezFerkauf Graduate School of Psychology, Yeshiva University, Bronx, NY.ORCID 0000-0002-8252-2077
Hui WenBiostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.
Nicole M ButeraBiostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0000-0002-8901-3881
Diane UschnerBiostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.
Heidi Krause-SteinraufBiostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0000-0001-6894-4110
Michaela R GramzinskiBiostatistics Center, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Rockville, MD.ORCID 0009-0001-1662-7196
Deborah J WexlerMassachusetts General Hospital Diabetes Center and Harvard Medical School, Boston, MA.ORCID 0000-0001-6979-402X
Helen PetrovitchDepartment of Veterans Affairs Pacific Islands Health Care System, Honolulu, HI.
Claire J HoogendoornFerkauf Graduate School of Psychology, Yeshiva University, Bronx, NY.ORCID 0000-0003-4526-1952
Gladys Crespo-RamosEndocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY.
Caroline PresleyDivision of Preventative Medicine, University of Alabama, Birmingham, AL.ORCID 0000-0001-6492-9941
Basma FattalehVA Puget Sound Health Care System, Seattle, WA.
Violet LagariMiami VA Healthcare System and University of Miami, Miami, FL.
Elizabeth A WalkerEndocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY.
Andrea L CherringtonGeneral Internal Medicine and Population Science, Department of Medicine, University of Alabama, Birmingham, AL.ORCID 0000-0002-8321-3567
GRADE Research Group*

Funding

Technology CoreP01AG003949 · NIA · YESHIVA UNIVERSITY · PI Cuiling Wang · 1985 to 2022
$23.0M
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
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2025 to 2025
$8.6M
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
American Diabetes AssociationCDC HHSDivision of Diabetes, Endocrinology, and Metabolic Diseases P30DK111022Division of Diabetes, Endocrinology, and Metabolic Diseases R01DK104845Division of Diabetes, Endocrinology, and Metabolic Diseases U01DK098246Division of Diabetes, Endocrinology, and Metabolic Diseases U34DK088043NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR001108NCATS NIH HHS UL1 TR001409NCATS NIH HHS UL1 TR001449NCATS NIH HHS UL1 TR002243NCATS NIH HHS UL1 TR002345NCATS NIH HHS UL1 TR002378NCATS NIH HHS UL1 TR002489NCATS NIH HHS UL1 TR002529NCATS NIH HHS UL1 TR002535NCATS NIH HHS UL1 TR002537NCATS NIH HHS UL1 TR002548NCATS NIH HHS UM1 TR004406NCATS NIH HHS UM1 TR004528NHLBI NIH HHSNIA NIH HHS P01 AG003949NIDDK NIH HHS P30 DK017047NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK072476NIDDK NIH HHS P30 DK079626NIDDK NIH HHS P30 DK092926NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK104845NIDDK NIH HHS U01 DK098246NIDDK NIH HHS U34 DK088043NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

objectiveTo address previous inconsistencies in reports of differential adherence to diabetes medications, we examined medication adherence and evaluated treatment group differences in a substudy of participants in the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE). RESEARCH DESIGN AND

methodsGRADE participants (type 2 diabetes duration <10 years, HbA1c 6.8%-8.5%, on metformin alone) were randomly assigned to add insulin glargine, glimepiride, liraglutide, or sitagliptin. Adherence was measured semiannually for 3 years using a validated three-item scale (0-100, lowest to highest adherence) in a substudy (N = 1,739). Analyses included evaluation of adherence over time and testing treatment group differences in adherence and in the association between adherence and primary (HbA1c ≥7.0%) and secondary (HbA1c >7.5%) glycemic outcomes.

resultsOverall mean ± SD adherence (average of participant-level mean ± SD) was high over 3 years of follow-up at 88.7 ± 10.01, on a scale of 0-100, and decreased slightly by 3 years relative to baseline (-2.0 ± 14.7; P < 0.0001). No intergroup differences were observed until 3 years, when adherence was 5% and 3% higher for the glimepiride and sitagliptin groups, respectively, than for liraglutide (both P < 0.05). Over follow-up and across groups, a 10-point decrease in adherence was associated with 15% and 19% increased risk of reaching primary (HbA1c ≥7.0%) and secondary (HbA1c >7.5%) glycemic outcomes (both P < 0.0001). Lower adherence was somewhat more predictive of the secondary outcome for those assigned to glargine or liraglutide, compared with glimepiride or sitagliptin (each P < 0.05). No other comparisons were significant.

conclusionsMedication adherence was consistently high in GRADE. Observed treatment group differences were small and of unclear clinical significance. Overall, lower adherence robustly predicted worsening glycemic control, highlighting the importance of ongoing assessment.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Hypoglycemic AgentsMedication AdherenceAgedFemaleGlycated HemoglobinHumansInsulin GlargineInsulin, Long-ActingLiraglutideMaleMetforminMiddle AgedSitagliptin PhosphateSulfonylurea CompoundsBlood GlucoseglimepirideGlycated HemoglobinHypoglycemic AgentsInsulin GlargineInsulin, Long-ActingLiraglutideMetforminSitagliptin PhosphateSulfonylurea Compounds

Identifiers

PMID41557987
PMCPMC12824802

What Socratic holds

Texttitle and abstract
Read underepoch 390

Registered trials

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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.