Comparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus.
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| Title: | Comparative Cardiovascular Effectiveness of Glucagon-Like Peptide 1 Receptor Agonists and Sodium-Glucose Cotransporter 2 Inhibitors in Diabetes Mellitus. |
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| Authors: | Bu F; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Wu R; Department of Mathematics, College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, Michigan, USA., Ostropolets A; Observational Health Data Analytics, Janssen Research and Development, LLC, Titusville, New Jersey, USA., Aminorroaya A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, Connecticut, USA., Chen HY; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., Chai Y; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Shenzhen University Medical School, School of Public Health, Shenzhen University, Shenzhen, China., Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, Connecticut, USA., Falconer T; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., Hsu JC; International PhD Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taipei, Taiwan., Kim C; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, Connecticut, USA., Lau WCY; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom., Man KKC; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom., Minty E; Faculty of Medicine, O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada., Morales DR; Usher Institute, University of Edinburgh, Edinburgh, United Kingdom., Nishimura A; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Thangraraj P; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, Connecticut, USA., Van Zandt M; Real World Solutions, IQVIA, Durham, North Carolina, USA., Yin C; Real World Solutions, IQVIA, Shanghai, China., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, Connecticut, USA; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA., Hripcsak G; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA; Veterans Affairs Informatics and Computing Infrastructure, U.S. Department of Veterans Affairs, Salt Lake City, Utah, USA., Suchard MA; Veterans Affairs Informatics and Computing Infrastructure, U.S. Department of Veterans Affairs, Salt Lake City, Utah, USA; Department of Biostatistics, Fielding School of Public Health, University of California-Los Angeles, Los Angeles, California, USA; Department of Biomathematics, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California, USA; Department of Human Genetics, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California, USA. Electronic address: msuchard@ucla.edu. |
| Source: | Journal of the American College of Cardiology [J Am Coll Cardiol] 2026 Jun 02; Vol. 87 (21), pp. 2963-2977. Date of Electronic Publication: 2026 Apr 15. |
| Publication Type: | Journal Article; Comparative Study; Multicenter Study |
| Journal Info: | Publisher: Elsevier Biomedical Country of Publication: United States NLM ID: 8301365 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-3597 (Electronic) Linking ISSN: 07351097 NLM ISO Abbreviation: J Am Coll Cardiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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