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Heterogeneity of Treatment Effects Among Patients With Type 2 Diabetes and Elevated Body Mass Index in a Study Comparing Group Medical Visits Focused on Weight Management and Medication Intensification

Bibliographic Data

ID9100030
AuthorsElizabeth A Kobe (0000-0003-4593-6139, School of Medicine, Duke University, corresponding author), Matthew J Crowley (0000-0002-6205-4536, Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT)), Amy S Jeffreys (0000-0001-9565-248X, Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT)), William S Yancy (0000-0003-1221-1860, School of Medicine, Duke University, corresponding author), Jennifer Zervakis (Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT)), David Edelman (0000-0001-7112-6151, Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT)), Corrine I Voils (0000-0003-1913-663X, William S. Middleton Memorial Veterans Hospital), Matthew L Maciejewski (0000-0003-1765-5938, School of Medicine, Duke University, corresponding author), Cynthia J Coffman (0000-0002-4554-1463, Durham Veterans Affairs Center of Innovation to Accelerate Discovery and Practice Change (ADAPT), corresponding author)
Year2021
Volume59
Issue11
Pages1031-1038
Publication date2021-11-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001642
PMID34510104
OpenAlexW3199423498
LanguageEN
References cited36

BACKGROUND: Illuminating heterogeneity of treatment effect (HTE) within trials is important for identifying target populations for implementation. OBJECTIVE: The aim of this study was to examine HTE in a trial of group medical visits (GMVs) for patients with type 2 diabetes and elevated body mass index. RESEARCH DESIGN AND MEASURES: Participants (n=263) were randomized to GMV-based medication management plus low carbohydrate diet-focused weight management (WM/GMV; n=127) or GMV-based medication management alone (GMV; n=136) for diabetes control. We used QUalitative INteraction Trees, a tree-based clustering method, to identify subgroups with greater improvement in hemoglobin A1c (HbA1c) and weight from either WM/GMV or GMV. Subgroup predictors included 32 baseline demographic, clinical, and psychosocial factors. Internal validation was conducted to estimate bias in the range of mean outcome differences between arms. RESULTS: QUalitative INteraction Trees analyses indicated that for patients who had not previously attempted weight loss, WM/GMV resulted in better glycemic control than GMV (mean difference in HbA1c improvement=1.48%). For patients who had previously attempted weight loss and had lower cholesterol and blood urea nitrogen, GMV was better than WM/GMV (mean difference in HbA1c improvement=1.51%). No treatment-subgroup effects were identified for weight. Internal validation resulted in moderate corrections in mean HbA1c differences between arms; however, differences remained in the clinically significant range. CONCLUSION: This work represents a novel step toward targeting care approaches for patients to maximize benefit based on individual patient characteristics

Body mass index · Diabetes mellitus · Glycemic · Meta-analysis · Obesity · Overweight · Physical therapy · Psychiatry · Psychosocial · Randomized controlled trial · Subgroup analysis · Type 2 diabetes · Weight loss · Weight management · Bariatric Surgery and Outcomes · Diabetes Treatment and Management · Diet and metabolism studies · Endocrinology · Internal Medicine · Medicine

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Highly citedNo

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