Early GLP-1 Receptor Agonist and SGLT2 Inhibitor Add-On Strategies in Adults With Obesity, Type 2 Diabetes, Cardiovascular-Kidney-Metabolic Syndrome Stage 2-3, and Metabolic Dysfunction-Associated Steatotic Liver Disease
28 maja 2026 zaktualizowane przez: Yu-Nan Huang, Chung Shan Medical University
Early GLP-1 Receptor Agonist and SGLT2 Inhibitor Add-On Strategies in Adults With Obesity, Type 2 Diabetes, Cardiovascular-Kidney-Metabolic Syndrome Stage 2-3, and Metabolic Dysfunction-Associated Steatotic Liver Disease: A Target Trial Emulation
This retrospective observational target-trial emulation uses electronic health record data from the TriNetX US Collaborative Network to compare early treatment intensification strategies in adults with obesity, type 2 diabetes, cardiovascular-kidney-metabolic syndrome stage 2-3, and metabolic dysfunction-associated steatotic liver disease who initiate a GLP-1 receptor agonist or an SGLT2 inhibitor as background therapy.
Within each background-therapy cohort, patients who added the complementary class within 90 days of initiation were compared against patients who did not, with prespecified comparisons against both the overall non-complementary cohort and the analytical subset who initiated usual-care add-on therapy (DPP-4 inhibitors, sulfonylureas, or insulin) within the same window.
The primary outcome is all-cause mortality over 60 months, with major adverse cardiovascular, kidney, and liver outcomes also evaluated.
Propensity-score matching is used to reduce bias from nonrandom treatment selection.
Przegląd badań
Status
Zakończony
Typ studiów
Obserwacyjny
Zapisy (Rzeczywisty)
118805
Kontakty i lokalizacje
Ta sekcja zawiera dane kontaktowe osób prowadzących badanie oraz informacje o tym, gdzie badanie jest przeprowadzane.
Lokalizacje studiów
-
-
Taichung
-
Taichung, Taichung, Tajwan, 402
- Chung Shan Medical University Hospital
-
-
Kryteria uczestnictwa
Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.
Kryteria kwalifikacji
Wiek uprawniający do nauki
- Dorosły
- Starszy dorosły
Akceptuje zdrowych ochotników
Nie
Metoda próbkowania
Próbka bez prawdopodobieństwa
Badana populacja
Adults will be selected from the TriNetX US Collaborative Network, a distributed database of de-identified electronic health records contributed by participating healthcare organizations across multiple clinical systems and practice settings.
The study population consists of adults with obesity, type 2 diabetes, cardiovascular-kidney-metabolic syndrome stage 2-3, and metabolic dysfunction-associated steatotic liver disease who received routine clinical care in this network and were identified through diagnosis records, body mass index data, laboratory data, and medication prescribing data.
Four mutually exclusive cohorts were defined by background therapy (GLP-1 receptor agonist or SGLT2 inhibitor) and 90-day add-on status, supporting four prespecified pairwise comparisons of early complementary add-on against monotherapy or against usual-care add-on (DPP-4 inhibitor, sulfonylurea, or insulin).
Opis
Inclusion Criteria:
- Adults aged 18 years or older.
- BMI ≥27 kg/m², or diagnosis codes consistent with obesity
- Type 2 diabetes mellitus
- Cardiovascular-kidney-metabolic syndrome stage 2-3
- Metabolic dysfunction-associated steatotic liver disease
- New initiation of GLP-1 receptor agonist therapy or SGLT2 inhibitor therapy during the study period as background therapy
- No prescription of either GLP-1 receptor agonist or SGLT2 inhibitor within the 6-month washout window before background therapy initiation
Exclusion Criteria:
- Type 1 diabetes mellitus, or other specified diabetes types that are not type 2 diabetes
- Human immunodeficiency virus infection
- Other chronic, alcohol-related, or secondary liver diseases
- Prior bariatric surgery
- Prior solid-organ transplantation
- Hepatocellular carcinoma or liver transplant within 1 year before background therapy initiation
- Major cardiovascular, kidney, or liver event within the 6-month window before background therapy initiation
- Transplant-related complications
Plan studiów
Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.
Jak projektuje się badanie?
Szczegóły projektu
Kohorty i interwencje
Grupa / Kohorta |
|---|
|
GLP-1 RA with SGLT2i Add-On
Adults with obesity, type 2 diabetes, cardiovascular-kidney-metabolic syndrome stage 2-3, and metabolic dysfunction-associated steatotic liver disease who initiated GLP-1 receptor agonist therapy and added an SGLT2 inhibitor within 90 days after treatment initiation.
|
|
GLP-1 RA monotherapy
Adults with obesity, type 2 diabetes, cardiovascular-kidney-metabolic syndrome stage 2-3, and metabolic dysfunction-associated steatotic liver disease who initiated GLP-1 receptor agonist therapy and did not receive early add-on therapy with an SGLT2 inhibitor within 90 days after treatment initiation.
|
|
SGLT2i with GLP-1 RA Add-On
Adults with obesity, type 2 diabetes, cardiovascular-kidney-metabolic syndrome stage 2-3, and metabolic dysfunction-associated steatotic liver disease who initiated SGLT2 inhibitor therapy and added a GLP-1 receptor agonist within 90 days after treatment initiation.
|
|
SGLT2i monotherapy
Adults with obesity, type 2 diabetes, cardiovascular-kidney-metabolic syndrome stage 2-3, and metabolic dysfunction-associated steatotic liver disease who initiated SGLT2 inhibitor therapy and did not receive early add-on therapy with a GLP-1 receptor agonist within 90 days after treatment initiation.
|
Co mierzy badanie?
Podstawowe miary wyniku
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
|
All-cause Mortality (Comparison 1)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
All-cause mortality from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 1, comparing adults with obesity, type 2 diabetes, CKM syndrome stage 2-3, and MASLD who initiated GLP-1 RA therapy with early SGLT2i add-on versus those who initiated GLP-1 RA therapy without early SGLT2i add-on (monotherapy).
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
All-cause Mortality (Comparison 2)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
All-cause mortality from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 2, comparing adults with obesity, type 2 diabetes, CKM syndrome stage 2-3, and MASLD who initiated GLP-1 RA therapy with early SGLT2i add-on versus those who initiated GLP-1 RA therapy with usual care (DPP-4 inhibitor, sulfonylurea, or insulin add-on).
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
All-cause Mortality (Comparison 3)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
All-cause mortality from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 3, comparing adults with obesity, type 2 diabetes, CKM syndrome stage 2-3, and MASLD who initiated SGLT2i therapy with early GLP-1 RA add-on versus those who initiated SGLT2i therapy without early GLP-1 RA add-on (monotherapy).
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
All-cause Mortality (Comparison 4)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
All-cause mortality from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 4, comparing adults with obesity, type 2 diabetes, CKM syndrome stage 2-3, and MASLD who initiated SGLT2i therapy with early GLP-1 RA add-on versus those who initiated SGLT2i therapy with usual care (DPP-4 inhibitor, sulfonylurea, or insulin add-on).
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
Miary wyników drugorzędnych
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
|
Major Adverse Cardiovascular Events (Comparison 1)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of acute myocardial infarction, cardiac arrest, intracerebral or intracranial hemorrhage, and cerebral infarction from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 1, comparing GLP-1 RA with early SGLT2i add-on versus GLP-1 RA monotherapy.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Cardiovascular Events (Comparison 2)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of acute myocardial infarction, cardiac arrest, intracerebral or intracranial hemorrhage, and cerebral infarction from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 2, comparing GLP-1 RA with early SGLT2i add-on versus GLP-1 RA with usual care.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Cardiovascular Events (Comparison 3)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of acute myocardial infarction, cardiac arrest, intracerebral or intracranial hemorrhage, and cerebral infarction from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 3, comparing SGLT2i with early GLP-1 RA add-on versus SGLT2i monotherapy.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Cardiovascular Events (Comparison 4)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of acute myocardial infarction, cardiac arrest, intracerebral or intracranial hemorrhage, and cerebral infarction from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 4, comparing SGLT2i with early GLP-1 RA add-on versus SGLT2i with usual care.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Kidney Events (Comparison 1)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of end-stage kidney disease, dialysis dependence or initiation, kidney failure, and dialysis-related procedures from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 1, comparing GLP-1 RA with early SGLT2i add-on versus GLP-1 RA monotherapy.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Kidney Events (Comparison 2)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of end-stage kidney disease, dialysis dependence or initiation, kidney failure, and dialysis-related procedures from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 2, comparing GLP-1 RA with early SGLT2i add-on versus GLP-1 RA with usual care.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Kidney Events (Comparison 3)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of end-stage kidney disease, dialysis dependence or initiation, kidney failure, and dialysis-related procedures from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 3, comparing SGLT2i with early GLP-1 RA add-on versus SGLT2i monotherapy.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Kidney Events (Comparison 4)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of end-stage kidney disease, dialysis dependence or initiation, kidney failure, and dialysis-related procedures from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 4, comparing SGLT2i with early GLP-1 RA add-on versus SGLT2i with usual care.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Liver Outcomes (Comparison 1)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of hepatic decompensation (ascites, hepatic encephalopathy, variceal bleeding, spontaneous bacterial peritonitis, hepatic failure, hepatorenal syndrome), hepatocellular carcinoma, and liver transplantation from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 1, comparing GLP-1 RA with early SGLT2i add-on versus GLP-1 RA monotherapy.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Liver Outcomes (Comparison 2)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of hepatic decompensation, hepatocellular carcinoma, and liver transplantation from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 2, comparing GLP-1 RA with early SGLT2i add-on versus GLP-1 RA with usual care.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Liver Outcomes (Comparison 3)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of hepatic decompensation, hepatocellular carcinoma, and liver transplantation from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 3, comparing SGLT2i with early GLP-1 RA add-on versus SGLT2i monotherapy.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
|
Major Adverse Liver Outcomes (Comparison 4)
Ramy czasowe: From 90 days after treatment initiation through up to 60 months of follow-up
|
Composite of hepatic decompensation, hepatocellular carcinoma, and liver transplantation from the 90-day landmark date through up to 60 months of follow-up in the propensity score-matched cohort for Comparison 4, comparing SGLT2i with early GLP-1 RA add-on versus SGLT2i with usual care.
|
From 90 days after treatment initiation through up to 60 months of follow-up
|
Współpracownicy i badacze
Tutaj znajdziesz osoby i organizacje zaangażowane w to badanie.
Sponsor
Współpracownicy
Publikacje i pomocne linki
Osoba odpowiedzialna za wprowadzenie informacji o badaniu dobrowolnie udostępnia te publikacje. Mogą one dotyczyć wszystkiego, co jest związane z badaniem.
Publikacje ogólne
- Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, Mattheus M, Devins T, Johansen OE, Woerle HJ, Broedl UC, Inzucchi SE; EMPA-REG OUTCOME Investigators. Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes. N Engl J Med. 2015 Nov 26;373(22):2117-28. doi: 10.1056/NEJMoa1504720. Epub 2015 Sep 17.
- Perkovic V, Jardine MJ, Neal B, Bompoint S, Heerspink HJL, Charytan DM, Edwards R, Agarwal R, Bakris G, Bull S, Cannon CP, Capuano G, Chu PL, de Zeeuw D, Greene T, Levin A, Pollock C, Wheeler DC, Yavin Y, Zhang H, Zinman B, Meininger G, Brenner BM, Mahaffey KW; CREDENCE Trial Investigators. Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. N Engl J Med. 2019 Jun 13;380(24):2295-2306. doi: 10.1056/NEJMoa1811744. Epub 2019 Apr 14.
- McMurray JJV, Solomon SD, Inzucchi SE, Kober L, Kosiborod MN, Martinez FA, Ponikowski P, Sabatine MS, Anand IS, Belohlavek J, Bohm M, Chiang CE, Chopra VK, de Boer RA, Desai AS, Diez M, Drozdz J, Dukat A, Ge J, Howlett JG, Katova T, Kitakaze M, Ljungman CEA, Merkely B, Nicolau JC, O'Meara E, Petrie MC, Vinh PN, Schou M, Tereshchenko S, Verma S, Held C, DeMets DL, Docherty KF, Jhund PS, Bengtsson O, Sjostrand M, Langkilde AM; DAPA-HF Trial Committees and Investigators. Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction. N Engl J Med. 2019 Nov 21;381(21):1995-2008. doi: 10.1056/NEJMoa1911303. Epub 2019 Sep 19.
- Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behav Res. 2011 May;46(3):399-424. doi: 10.1080/00273171.2011.568786. Epub 2011 Jun 8.
- Younossi ZM, Golabi P, de Avila L, Paik JM, Srishord M, Fukui N, Qiu Y, Burns L, Afendy A, Nader F. The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: A systematic review and meta-analysis. J Hepatol. 2019 Oct;71(4):793-801. doi: 10.1016/j.jhep.2019.06.021. Epub 2019 Jul 4.
- Heerspink HJL, Stefansson BV, Correa-Rotter R, Chertow GM, Greene T, Hou FF, Mann JFE, McMurray JJV, Lindberg M, Rossing P, Sjostrom CD, Toto RD, Langkilde AM, Wheeler DC; DAPA-CKD Trial Committees and Investigators. Dapagliflozin in Patients with Chronic Kidney Disease. N Engl J Med. 2020 Oct 8;383(15):1436-1446. doi: 10.1056/NEJMoa2024816. Epub 2020 Sep 24.
- Marso SP, Daniels GH, Brown-Frandsen K, Kristensen P, Mann JF, Nauck MA, Nissen SE, Pocock S, Poulter NR, Ravn LS, Steinberg WM, Stockner M, Zinman B, Bergenstal RM, Buse JB; LEADER Steering Committee; LEADER Trial Investigators. Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes. N Engl J Med. 2016 Jul 28;375(4):311-22. doi: 10.1056/NEJMoa1603827. Epub 2016 Jun 13.
- Marso SP, Bain SC, Consoli A, Eliaschewitz FG, Jodar E, Leiter LA, Lingvay I, Rosenstock J, Seufert J, Warren ML, Woo V, Hansen O, Holst AG, Pettersson J, Vilsboll T; SUSTAIN-6 Investigators. Semaglutide and Cardiovascular Outcomes in Patients with Type 2 Diabetes. N Engl J Med. 2016 Nov 10;375(19):1834-1844. doi: 10.1056/NEJMoa1607141. Epub 2016 Sep 15.
- Austin PC, Lee DS, Fine JP. Introduction to the Analysis of Survival Data in the Presence of Competing Risks. Circulation. 2016 Feb 9;133(6):601-9. doi: 10.1161/CIRCULATIONAHA.115.017719.
- Rinella ME, Lazarus JV, Ratziu V, Francque SM, Sanyal AJ, Kanwal F, Romero D, Abdelmalek MF, Anstee QM, Arab JP, Arrese M, Bataller R, Beuers U, Boursier J, Bugianesi E, Byrne CD, Castro Narro GE, Chowdhury A, Cortez-Pinto H, Cryer DR, Cusi K, El-Kassas M, Klein S, Eskridge W, Fan J, Gawrieh S, Guy CD, Harrison SA, Kim SU, Koot BG, Korenjak M, Kowdley KV, Lacaille F, Loomba R, Mitchell-Thain R, Morgan TR, Powell EE, Roden M, Romero-Gomez M, Silva M, Singh SP, Sookoian SC, Spearman CW, Tiniakos D, Valenti L, Vos MB, Wong VW, Xanthakos S, Yilmaz Y, Younossi Z, Hobbs A, Villota-Rivas M, Newsome PN; NAFLD Nomenclature consensus group. A multisociety Delphi consensus statement on new fatty liver disease nomenclature. Hepatology. 2023 Dec 1;78(6):1966-1986. doi: 10.1097/HEP.0000000000000520. Epub 2023 Jun 24.
- The EMPA-KIDNEY Collaborative Group; Herrington WG, Staplin N, Wanner C, Green JB, Hauske SJ, Emberson JR, Preiss D, Judge P, Mayne KJ, Ng SYA, Sammons E, Zhu D, Hill M, Stevens W, Wallendszus K, Brenner S, Cheung AK, Liu ZH, Li J, Hooi LS, Liu W, Kadowaki T, Nangaku M, Levin A, Cherney D, Maggioni AP, Pontremoli R, Deo R, Goto S, Rossello X, Tuttle KR, Steubl D, Petrini M, Massey D, Eilbracht J, Brueckmann M, Landray MJ, Baigent C, Haynes R. Empagliflozin in Patients with Chronic Kidney Disease. N Engl J Med. 2023 Jan 12;388(2):117-127. doi: 10.1056/NEJMoa2204233. Epub 2022 Nov 4.
- Hernan MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol. 2016 Apr 15;183(8):758-64. doi: 10.1093/aje/kwv254. Epub 2016 Mar 18.
- Hernan MA, Wang W, Leaf DE. Target Trial Emulation: A Framework for Causal Inference From Observational Data. JAMA. 2022 Dec 27;328(24):2446-2447. doi: 10.1001/jama.2022.21383.
- Rinella ME, Neuschwander-Tetri BA, Siddiqui MS, Abdelmalek MF, Caldwell S, Barb D, Kleiner DE, Loomba R. AASLD Practice Guidance on the clinical assessment and management of nonalcoholic fatty liver disease. Hepatology. 2023 May 1;77(5):1797-1835. doi: 10.1097/HEP.0000000000000323. Epub 2023 Mar 17. No abstract available.
- McGuire DK, Shih WJ, Cosentino F, Charbonnel B, Cherney DZI, Dagogo-Jack S, Pratley R, Greenberg M, Wang S, Huyck S, Gantz I, Terra SG, Masiukiewicz U, Cannon CP. Association of SGLT2 Inhibitors With Cardiovascular and Kidney Outcomes in Patients With Type 2 Diabetes: A Meta-analysis. JAMA Cardiol. 2021 Feb 1;6(2):148-158. doi: 10.1001/jamacardio.2020.4511.
- Newsome PN, Buchholtz K, Cusi K, Linder M, Okanoue T, Ratziu V, Sanyal AJ, Sejling AS, Harrison SA; NN9931-4296 Investigators. A Placebo-Controlled Trial of Subcutaneous Semaglutide in Nonalcoholic Steatohepatitis. N Engl J Med. 2021 Mar 25;384(12):1113-1124. doi: 10.1056/NEJMoa2028395. Epub 2020 Nov 13.
- Lincoff AM, Brown-Frandsen K, Colhoun HM, Deanfield J, Emerson SS, Esbjerg S, Hardt-Lindberg S, Hovingh GK, Kahn SE, Kushner RF, Lingvay I, Oral TK, Michelsen MM, Plutzky J, Tornoe CW, Ryan DH; SELECT Trial Investigators. Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes. N Engl J Med. 2023 Dec 14;389(24):2221-2232. doi: 10.1056/NEJMoa2307563. Epub 2023 Nov 11.
- Lipsitch M, Tchetgen Tchetgen E, Cohen T. Negative controls: a tool for detecting confounding and bias in observational studies. Epidemiology. 2010 May;21(3):383-8. doi: 10.1097/EDE.0b013e3181d61eeb.
- Ndumele CE, Rangaswami J, Chow SL, Neeland IJ, Tuttle KR, Khan SS, Coresh J, Mathew RO, Baker-Smith CM, Carnethon MR, Despres JP, Ho JE, Joseph JJ, Kernan WN, Khera A, Kosiborod MN, Lekavich CL, Lewis EF, Lo KB, Ozkan B, Palaniappan LP, Patel SS, Pencina MJ, Powell-Wiley TM, Sperling LS, Virani SS, Wright JT, Rajgopal Singh R, Elkind MSV; American Heart Association. Cardiovascular-Kidney-Metabolic Health: A Presidential Advisory From the American Heart Association. Circulation. 2023 Nov 14;148(20):1606-1635. doi: 10.1161/CIR.0000000000001184. Epub 2023 Oct 9.
- Perkovic V, Tuttle KR, Rossing P, Mahaffey KW, Mann JFE, Bakris G, Baeres FMM, Idorn T, Bosch-Traberg H, Lausvig NL, Pratley R; FLOW Trial Committees and Investigators. Effects of Semaglutide on Chronic Kidney Disease in Patients with Type 2 Diabetes. N Engl J Med. 2024 Jul 11;391(2):109-121. doi: 10.1056/NEJMoa2403347. Epub 2024 May 24.
- Dafni U. Landmark analysis at the 25-year landmark point. Circ Cardiovasc Qual Outcomes. 2011 May;4(3):363-71. doi: 10.1161/CIRCOUTCOMES.110.957951.
- Matthews AA, Danaei G, Islam N, Kurth T. Target trial emulation: applying principles of randomised trials to observational studies. BMJ. 2022 Aug 30;378:e071108. doi: 10.1136/bmj-2022-071108. No abstract available.
- Topaloglu U, Palchuk MB. Using a Federated Network of Real-World Data to Optimize Clinical Trials Operations. JCO Clin Cancer Inform. 2018 Dec;2:1-10. doi: 10.1200/CCI.17.00067.
- Palchuk MB, London JW, Perez-Rey D, Drebert ZJ, Winer-Jones JP, Thompson CN, Esposito J, Claerhout B. A global federated real-world data and analytics platform for research. JAMIA Open. 2023 May 13;6(2):ooad035. doi: 10.1093/jamiaopen/ooad035. eCollection 2023 Jul.
- Wright AK, Carr MJ, Kontopantelis E, Leelarathna L, Thabit H, Emsley R, Buchan I, Mamas MA, van Staa TP, Sattar N, Ashcroft DM, Rutter MK. Primary Prevention of Cardiovascular and Heart Failure Events With SGLT2 Inhibitors, GLP-1 Receptor Agonists, and Their Combination in Type 2 Diabetes. Diabetes Care. 2022 Apr 1;45(4):909-918. doi: 10.2337/dc21-1113.
- Neuen BL, Fletcher RA, Heath L, Perkovic A, Vaduganathan M, Badve SV, Tuttle KR, Pratley R, Gerstein HC, Perkovic V, Heerspink HJL. Cardiovascular, Kidney, and Safety Outcomes With GLP-1 Receptor Agonists Alone and in Combination With SGLT2 Inhibitors in Type 2 Diabetes: A Systematic Review and Meta-Analysis. Circulation. 2024 Nov 26;150(22):1781-1790. doi: 10.1161/CIRCULATIONAHA.124.071689. Epub 2024 Aug 30.
- Simms-Williams N, Treves N, Yin H, Lu S, Yu O, Pradhan R, Renoux C, Suissa S, Azoulay L. Effect of combination treatment with glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors on incidence of cardiovascular and serious renal events: population based cohort study. BMJ. 2024 Apr 25;385:e078242. doi: 10.1136/bmj-2023-078242.
- Mantovani A, Petracca G, Csermely A, Beatrice G, Targher G. Sodium-Glucose Cotransporter-2 Inhibitors for Treatment of Nonalcoholic Fatty Liver Disease: A Meta-Analysis of Randomized Controlled Trials. Metabolites. 2020 Dec 30;11(1):22. doi: 10.3390/metabo11010022.
- Loomba R, Hartman ML, Lawitz EJ, Vuppalanchi R, Boursier J, Bugianesi E, Yoneda M, Behling C, Cummings OW, Tang Y, Brouwers B, Robins DA, Nikooie A, Bunck MC, Haupt A, Sanyal AJ; SYNERGY-NASH Investigators. Tirzepatide for Metabolic Dysfunction-Associated Steatohepatitis with Liver Fibrosis. N Engl J Med. 2024 Jul 25;391(4):299-310. doi: 10.1056/NEJMoa2401943. Epub 2024 Jun 8.
- Sanyal AJ, Newsome PN, Kliers I, Ostergaard LH, Long MT, Kjaer MS, Cali AMG, Bugianesi E, Rinella ME, Roden M, Ratziu V; ESSENCE Study Group. Phase 3 Trial of Semaglutide in Metabolic Dysfunction-Associated Steatohepatitis. N Engl J Med. 2025 Jun 5;392(21):2089-2099. doi: 10.1056/NEJMoa2413258. Epub 2025 Apr 30.
- Sattar N, Lee MMY, Kristensen SL, Branch KRH, Del Prato S, Khurmi NS, Lam CSP, Lopes RD, McMurray JJV, Pratley RE, Rosenstock J, Gerstein HC. Cardiovascular, mortality, and kidney outcomes with GLP-1 receptor agonists in patients with type 2 diabetes: a systematic review and meta-analysis of randomised trials. Lancet Diabetes Endocrinol. 2021 Oct;9(10):653-662. doi: 10.1016/S2213-8587(21)00203-5. Epub 2021 Aug 20.
- DeFronzo RA. Combination therapy with GLP-1 receptor agonist and SGLT2 inhibitor. Diabetes Obes Metab. 2017 Oct;19(10):1353-1362. doi: 10.1111/dom.12982. Epub 2017 Jun 7.
- Castellana M, Cignarelli A, Brescia F, Perrini S, Natalicchio A, Laviola L, Giorgino F. Efficacy and safety of GLP-1 receptor agonists as add-on to SGLT2 inhibitors in type 2 diabetes mellitus: A meta-analysis. Sci Rep. 2019 Dec 18;9(1):19351. doi: 10.1038/s41598-019-55524-w.
- Ndumele CE, Neeland IJ, Tuttle KR, Chow SL, Mathew RO, Khan SS, Coresh J, Baker-Smith CM, Carnethon MR, Despres JP, Ho JE, Joseph JJ, Kernan WN, Khera A, Kosiborod MN, Lekavich CL, Lewis EF, Lo KB, Ozkan B, Palaniappan LP, Patel SS, Pencina MJ, Powell-Wiley TM, Sperling LS, Virani SS, Wright JT, Rajgopal Singh R, Elkind MSV, Rangaswami J; American Heart Association. A Synopsis of the Evidence for the Science and Clinical Management of Cardiovascular-Kidney-Metabolic (CKM) Syndrome: A Scientific Statement From the American Heart Association. Circulation. 2023 Nov 14;148(20):1636-1664. doi: 10.1161/CIR.0000000000001186. Epub 2023 Oct 9.
Daty zapisu na studia
Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.
Główne daty studiów
Rozpoczęcie studiów (Rzeczywisty)
1 stycznia 2017
Zakończenie podstawowe (Rzeczywisty)
31 marca 2026
Ukończenie studiów (Rzeczywisty)
31 marca 2026
Daty rejestracji na studia
Pierwszy przesłany
26 kwietnia 2026
Pierwszy przesłany, który spełnia kryteria kontroli jakości
29 kwietnia 2026
Pierwszy wysłany (Rzeczywisty)
5 maja 2026
Aktualizacje rekordów badań
Ostatnia wysłana aktualizacja (Rzeczywisty)
25 czerwca 2026
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
28 maja 2026
Ostatnia weryfikacja
1 maja 2026
Więcej informacji
Terminy związane z tym badaniem
Inne numery identyfikacyjne badania
- CS1-26035
Plan dla danych uczestnika indywidualnego (IPD)
Planujesz udostępniać dane poszczególnych uczestników (IPD)?
NIE
Opis planu IPD
Individual participant data will not be shared.
This retrospective observational study uses de-identified electronic health record data from the TriNetX US Collaborative Network.
Access to individual-level data is restricted by data use agreements, institutional policies, and privacy protections.
Researchers who meet eligibility requirements may obtain access to similar de-identified data through a TriNetX license or through participating institutions.
Informacje o lekach i urządzeniach, dokumenty badawcze
Bada produkt leczniczy regulowany przez amerykańską FDA
Nie
Bada produkt urządzenia regulowany przez amerykańską FDA
Nie
Te informacje zostały pobrane bezpośrednio ze strony internetowej clinicaltrials.gov bez żadnych zmian. Jeśli chcesz zmienić, usunąć lub zaktualizować dane swojego badania, skontaktuj się z register@clinicaltrials.gov. Gdy tylko zmiana zostanie wprowadzona na stronie clinicaltrials.gov, zostanie ona automatycznie zaktualizowana również na naszej stronie internetowej .