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GLP1-SGLT2-CKM
CompletedEarly Add-On Combination of GLP-1 Receptor Agonist and SGLT2 Inhibitor in People With Cardiovascular-Kidney-Metabolic Stage 2-3
Associations of Early Add-On GLP-1 Receptor Agonist and SGLT2 Inhibitor Therapy With Mortality and Kidney Outcomes in Adults With Obesity and Type 2 Diabetes Across Cardiovascular-Kidney-Metabolic Stages 2-3: A Target-Trial Emulation
Lead sponsor
Asset
GLP-1 / incretin class catch-all
Listed sites
0
Recruiting sites
—
Enrollment
451,036
actual
Study population
Obesity / overweight, Type 2 diabetes
Key I/E criterion
—
Primary endpoint
•All-cause death
Identifiers
Registered as
Timeline
Milestones
Assets
Investigational agents
Study populations
Who this study enrolls
Eligibility
Who can enroll
Study population text
Adults (≥20 years) with obesity, type 2 diabetes, and cardiovascular-kidney-metabolic stage 2-3 identified from routinely collected electronic health record data in the TriNetX US Collaborative Network. Participants initiated a GLP-1 receptor agonist or an SGLT2 inhibitor and were classified according to early add-on treatment strategies.
Inclusion criteria
Exclusion criteria
Endpoints (3)
What's being measured
Protocol endpoints and posted registry outcome measures, grouped into outcome categories. Composite endpoints show their component event types. Standard codes (LOINC, SNOMED CT) are shown where available.
Coverage by outcome category
Cardiovascular outcomes
2 endpointsAll-Cause Mortality
Time frame:From index through 36 months
All-cause death
time to event, event
SNOMED 419620001
Major Adverse Cardiovascular Events (MACE)
Time frame:From index through 36 months
3-point MACE
composite event, event
componentsCardiovascular death, Myocardial infarction (any), Stroke (any)
Renal / kidney
1 endpointMajor Adverse Kidney Events (MAKE)
Time frame:From index through 36 months
Custom renal composite
composite event, event
componentsEnd-stage renal disease, Kidney-replacement therapy, All-cause death
Publications (51)
Bibliography
Records linked to this trial through ClinicalTrials.gov references, PubMed NCT search, and curated study seeds. 'Canonical' marks design/result papers; others are registry references or candidates.
Registry references + supporting bibliography
- The Journal of clinical investigation2025 Nov 3PMID41178710doi:10.1172/JCI194751via CT.gov reference
- Nature reviews. Drug discovery2025 Aug (month)PMID40281304doi:10.1038/s41573-025-01183-8via CT.gov reference
- The Journal of clinical endocrinology and metabolism2025 Jul 15PMID40388382doi:10.1210/clinem/dgaf295via CT.gov reference
- Journal of the American Heart Association2025 May 20PMID40371589doi:10.1161/JAHA.124.040269via CT.gov reference
- Diabetes & metabolism journal2025 May (month)PMID40367988doi:10.4093/dmj.2025.0220via CT.gov reference
The Target Trial Framework for Causal Inference From Observational Data: Why and When Is It Helpful?
Annals of internal medicine2025 Mar (month)PMID39961105doi:10.7326/ANNALS-24-01871via CT.gov reference- The New England journal of medicine2024 Nov 28PMID39588897doi:10.1056/NEJMp2407586via CT.gov reference
- Signal transduction and targeted therapy2024 Sep 18PMID39289339doi:10.1038/s41392-024-01931-zvia CT.gov reference
- Kidney international reports2024 Sep (month)PMID39291205doi:10.1016/j.ekir.2024.05.033via CT.gov reference
- The New England journal of medicine2024 Jul 11PMID38785209doi:10.1056/NEJMoa2403347via CT.gov reference
- The lancet. Diabetes & endocrinology2024 Jul (month)PMID38768620doi:10.1016/S2213-8587(24)00102-5via CT.gov reference
- Current problems in cardiology2024 Feb (month)PMID38103820doi:10.1016/j.cpcardiol.2023.102344via CT.gov reference
- The New England journal of medicine2023 Jan 12PMID36331190doi:10.1056/NEJMoa2204233via CT.gov reference
- The Journal of clinical endocrinology and metabolism2021 Jan 1PMID32927478doi:10.1210/clinem/dgaa643via CT.gov reference
- The New England journal of medicine2020 Oct 8PMID32970396doi:10.1056/NEJMoa2024816via CT.gov reference
- Hypertension (Dallas, Tex. : 1979)2020 Apr (month)PMID32114848doi:10.1161/HYPERTENSIONAHA.119.11684via CT.gov reference
- Molecular metabolism2019 Dec (month)PMID31767182doi:10.1016/j.molmet.2019.09.010via CT.gov reference
- The lancet. Diabetes & endocrinology2019 Oct (month)PMID31422062doi:10.1016/S2213-8587(19)30249-9via CT.gov reference
- The Journal of clinical endocrinology and metabolism2019 Jul 1PMID30835273doi:10.1210/jc.2019-00004via CT.gov reference
- The New England journal of medicine2019 Jan 24PMID30415602doi:10.1056/NEJMoa1812389via CT.gov reference
- European journal of pharmacology2017 Sep 15PMID28576404doi:10.1016/j.ejphar.2017.05.054via CT.gov reference
- Journal of clinical epidemiology2016 Nov (month)PMID27237061doi:10.1016/j.jclinepi.2016.04.014via CT.gov reference
- The New England journal of medicine2016 Jul 28PMID27295427doi:10.1056/NEJMoa1603827via CT.gov reference
- The New England journal of medicine2015 Nov 26PMID26378978doi:10.1056/NEJMoa1504720via CT.gov reference
- American journal of physiology. Renal physiology2009 Dec (month)PMID19776173doi:10.1152/ajprenal.00082.2009via CT.gov reference
Provenance
Sources
Trial facts come from public ClinicalTrials.gov records. Endpoint categories are Delfa's classification of those records, not a ClinicalTrials.gov field. All figures reflect the July 1, 2026 snapshot.