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

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dc.contributor.author유승찬-
dc.date.accessioned2024-12-06T02:31:26Z-
dc.date.available2024-12-06T02:31:26Z-
dc.date.issued2024-09-
dc.identifier.issn0735-1097-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/200819-
dc.description.abstractBackground: Sodium-glucose cotransporter 2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) reduce the risk of major adverse cardiovascular events (MACE) in patients with type 2 diabetes mellitus (T2DM). However, their effectiveness relative to each other and other second-line antihyperglycemic agents is unknown, without any major ongoing head-to-head clinical trials. Objectives: The aim of this study was to compare the cardiovascular effectiveness of SGLT2is, GLP-1 RAs, dipeptidyl peptidase-4 inhibitors (DPP4is), and clinical sulfonylureas (SUs) as second-line antihyperglycemic agents in T2DM. Methods: Across the LEGEND-T2DM (Large-Scale Evidence Generation and Evaluation Across a Network of Databases for Type 2 Diabetes Mellitus) network, 10 federated international data sources were included, spanning 1992 to 2021. In total, 1,492,855 patients with T2DM and cardiovascular disease (CVD) on metformin monotherapy were identified who initiated 1 of 4 second-line agents (SGLT2is, GLP-1 RAs, DPP4is, or SUs). Large-scale propensity score models were used to conduct an active-comparator target trial emulation for pairwise comparisons. After evaluating empirical equipoise and population generalizability, on-treatment Cox proportional hazards models were fit for 3-point MACE (myocardial infarction, stroke, and death) and 4-point MACE (3-point MACE plus heart failure hospitalization) risk and HR estimates were combined using random-effects meta-analysis. Results: Over 5.2 million patient-years of follow-up and 489 million patient-days of time at risk, patients experienced 25,982 3-point MACE and 41,447 4-point MACE. SGLT2is and GLP-1 RAs were associated with lower 3-point MACE risk than DPP4is (HR: 0.89 [95% CI: 0.79-1.00] and 0.83 [95% CI: 0.70-0.98]) and SUs (HR: 0.76 [95% CI: 0.65-0.89] and 0.72 [95% CI: 0.58-0.88]). DPP4is were associated with lower 3-point MACE risk than SUs (HR: 0.87; 95% CI: 0.79-0.95). The pattern for 3-point MACE was also observed for the 4-point MACE outcome. There were no significant differences between SGLT2is and GLP-1 RAs for 3-point or 4-point MACE (HR: 1.06 [95% CI: 0.96-1.17] and 1.05 [95% CI: 0.97-1.13]). Conclusions: In patients with T2DM and CVD, comparable cardiovascular risk reduction was found with SGLT2is and GLP-1 RAs, with both agents more effective than DPP4is, which in turn were more effective than SUs. These findings suggest that the use of SGLT2is and GLP-1 RAs should be prioritized as second-line agents in those with established CVD.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier Biomedical-
dc.relation.isPartOfJOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAged-
dc.subject.MESHCardiovascular Diseases* / epidemiology-
dc.subject.MESHCardiovascular Diseases* / prevention & control-
dc.subject.MESHDiabetes Mellitus, Type 2* / complications-
dc.subject.MESHDiabetes Mellitus, Type 2* / drug therapy-
dc.subject.MESHDipeptidyl-Peptidase IV Inhibitors / therapeutic use-
dc.subject.MESHFemale-
dc.subject.MESHGlucagon-Like Peptide-1 Receptor / agonists-
dc.subject.MESHHumans-
dc.subject.MESHHypoglycemic Agents* / therapeutic use-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHSodium-Glucose Transporter 2 Inhibitors* / therapeutic use-
dc.subject.MESHSulfonylurea Compounds / therapeutic use-
dc.subject.MESHTreatment Outcome-
dc.titleComparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes: A Multinational, Federated Analysis of LEGEND-T2DM-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Biomedical Systems Informatics (의생명시스템정보학교실)-
dc.contributor.googleauthorRohan Khera-
dc.contributor.googleauthorArya Aminorroaya-
dc.contributor.googleauthorLovedeep Singh Dhingra-
dc.contributor.googleauthorPhyllis M Thangaraj-
dc.contributor.googleauthorAline Pedroso Camargos-
dc.contributor.googleauthorFan Bu-
dc.contributor.googleauthorXiyu Ding-
dc.contributor.googleauthorAkihiko Nishimura-
dc.contributor.googleauthorTara V Anand-
dc.contributor.googleauthorFaaizah Arshad-
dc.contributor.googleauthorClair Blacketer-
dc.contributor.googleauthorYi Chai-
dc.contributor.googleauthorShounak Chattopadhyay-
dc.contributor.googleauthorMichael Cook-
dc.contributor.googleauthorDavid A Dorr-
dc.contributor.googleauthorTalita Duarte-Salles-
dc.contributor.googleauthorScott L DuVall-
dc.contributor.googleauthorThomas Falconer-
dc.contributor.googleauthorTina E French-
dc.contributor.googleauthorElizabeth E Hanchrow-
dc.contributor.googleauthorGuneet Kaur-
dc.contributor.googleauthorWallis C Y Lau-
dc.contributor.googleauthorJing Li-
dc.contributor.googleauthorKelly Li-
dc.contributor.googleauthorYuntian Liu-
dc.contributor.googleauthorYuan Lu-
dc.contributor.googleauthorKenneth K C Man-
dc.contributor.googleauthorMichael E Matheny-
dc.contributor.googleauthorNestoras Mathioudakis-
dc.contributor.googleauthorJody-Ann McLeggon-
dc.contributor.googleauthorMichael F McLemore-
dc.contributor.googleauthorEvan Minty-
dc.contributor.googleauthorDaniel R Morales-
dc.contributor.googleauthorPaul Nagy-
dc.contributor.googleauthorAnna Ostropolets-
dc.contributor.googleauthorAndrea Pistillo-
dc.contributor.googleauthorThanh-Phuc Phan-
dc.contributor.googleauthorNicole Pratt-
dc.contributor.googleauthorCarlen Reyes-
dc.contributor.googleauthorLauren Richter-
dc.contributor.googleauthorJoseph S Ross-
dc.contributor.googleauthorElise Ruan-
dc.contributor.googleauthorSarah L Seager-
dc.contributor.googleauthorKatherine R Simon-
dc.contributor.googleauthorBenjamin Viernes-
dc.contributor.googleauthorJianxiao Yang-
dc.contributor.googleauthorCan Yin-
dc.contributor.googleauthorSeng Chan You-
dc.contributor.googleauthorJin J Zhou-
dc.contributor.googleauthorPatrick B Ryan-
dc.contributor.googleauthorMartijn J Schuemie-
dc.contributor.googleauthorHarlan M Krumholz-
dc.contributor.googleauthorGeorge Hripcsak-
dc.contributor.googleauthorMarc A Suchard-
dc.identifier.doi10.1016/j.jacc.2024.05.069-
dc.contributor.localIdA02478-
dc.relation.journalcodeJ01770-
dc.identifier.eissn1558-3597-
dc.identifier.pmid39197980-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0735109724077799-
dc.subject.keywordcardiovascular diseases-
dc.subject.keywordcomparative effectiveness research-
dc.subject.keywordglucagon-like peptide-1 receptor agonists-
dc.subject.keywordhypoglycemic agents-
dc.subject.keywordsodium-glucose transporter 2 inhibitors-
dc.subject.keywordtype 2 diabetes mellitus-
dc.contributor.alternativeNameYou, Seng Chan-
dc.contributor.affiliatedAuthor유승찬-
dc.citation.volume84-
dc.citation.number10-
dc.citation.startPage904-
dc.citation.endPage917-
dc.identifier.bibliographicCitationJOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, Vol.84(10) : 904-917, 2024-09-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers

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