Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes: A Multinational, Federated Analysis of LEGEND-T2DM.

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Title: Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes: A Multinational, Federated Analysis of LEGEND-T2DM.
Authors: Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA. Electronic address: rohan.khera@yale.edu., Aminorroaya A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA., Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA., Thangaraj PM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA., Pedroso Camargos A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA., Bu F; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA., Ding X; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Nishimura A; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Anand TV; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., Arshad F; Department of Biostatistics, Fielding School of Public Health, University of California-Los Angeles, Los Angeles, California, USA., Blacketer C; Observational Health Data Analytics, Janssen Research and Development, Titusville, New Jersey, USA., Chai Y; Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China., Chattopadhyay S; Department of Biostatistics, Fielding School of Public Health, University of California-Los Angeles, Los Angeles, California, USA., Cook M; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Dorr DA; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA., Duarte-Salles T; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands., DuVall SL; Veterans Affairs Informatics and Computing Infrastructure, U.S. Department of Veterans Affairs, Salt Lake City, Utah, USA; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA., Falconer T; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., French TE; Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Hanchrow EE; Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Kaur G; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom., Lau WCY; 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; 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, Hong Kong Science Park, Hong Kong, China., Li J; Data Transformation, Analytics, and Artificial Intelligence, Real World Solutions, IQVIA, Durham, North Carolina, USA., Li K; Department of Biostatistics, Fielding School of Public Health, University of California-Los Angeles, Los Angeles, California, USA., Liu Y; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA., Lu Y; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA., Man KKC; 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; 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, Hong Kong Science Park, Hong Kong, China., Matheny ME; Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Mathioudakis N; Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., McLeggon JA; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., McLemore MF; Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Minty E; Faculty of Medicine, O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada., Morales DR; Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom., Nagy P; Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Ostropolets A; Observational Health Data Analytics, Janssen Research and Development, Titusville, New Jersey, USA., Pistillo A; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain., Phan TP; School of Pharmacy, Taipei Medical University, Taipei, Taiwan., Pratt N; Quality Use of Medicines and Pharmacy Research Centre, UniSA Clinical and Health Sciences, University of South Australia, Adelaide, Australia., Reyes C; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina, Barcelona, Spain., Richter L; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., Ross JS; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA; Section of General Medicine and National Clinician Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA., Ruan E; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., Seager SL; Data Transformation, Analytics, and Artificial Intelligence, Real World Solutions, IQVIA, London, United Kingdom., Simon KR; Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA., Viernes B; Veterans Affairs Informatics and Computing Infrastructure, U.S. Department of Veterans Affairs, Salt Lake City, Utah, USA; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA., Yang J; Department of Computational Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California, USA., Yin C; Data Transformation, Analytics, and Artificial Intelligence, Real World Solutions, IQVIA, Shanghai, China., You SC; Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, South Korea; Institute for Innovation in Digital Healthcare, Yonsei University College of Medicine, Seoul, South Korea., Zhou JJ; Department of Biostatistics, Fielding School of Public Health, University of California-Los Angeles, Los Angeles, California, USA; Department of Medicine, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California, USA., Ryan PB; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, USA., Schuemie MJ; Epidemiology, Office of the Chief Medical Officer, Johnson & Johnson, Titusville, New Jersey, USA., Krumholz HM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut, USA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA; Section of Cardiovascular Medicine, Department of Health Policy and Management, 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., Suchard MA; Department of Biostatistics, Fielding School of Public Health, University of California-Los Angeles, Los Angeles, California, USA; Veterans Affairs Informatics and Computing Infrastructure, U.S. Department of Veterans Affairs, Salt Lake City, Utah, 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] 2024 Sep 03; Vol. 84 (10), pp. 904-917.
Publication Type: Journal Article; Comparative Study; Multicenter Study
Journal Info: Publisher: Elsevier Biomedical Country of Publication: United States NLM ID: 8301365 Publication Model: Print Cited Medium: Internet ISSN: 1558-3597 (Electronic) Linking ISSN: 07351097 NLM ISO Abbreviation: J Am Coll Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-3597
DOI:10.1016/j.jacc.2024.05.069