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Record W4408621302 · doi:10.1007/s13300-025-01717-8

Clinical Profile and Treatment Patterns in Individuals with Type 2 Diabetes and Chronic Kidney Disease Who Initiate a GLP-1 Receptor Agonist: A Multinational Cohort Study

2025· article· en· W4408621302 on OpenAlexaff
Manel Pladevall, Ryan Ziemiecki, Catherine B. Johannes, Anam Khan, Daniel Mines, Natalie Ebert, Csaba P. Kövesdy, Reimar W. Thomsen, Brenda N Baak, Aníbal García‐Sempere, Hiroshi Kanegae, Craig I Coleman, Michael Walsh, Ina Trolle Andersen, Clara Rodríguez Bernal, Celia Robles Cabaniñas, Christian Fynbo Christiansen, Alfredo E. Farjat, Alain Gay, Patrick O. Gee, Ron M. C. Herings, Isabel Hurtado, Naoki Kashihara, F. Kristensen, Fangfang Liu, Suguru Okami, Jetty A. Overbeek, Fernie J. A. Penning‐van Beest, Satoshi Yamashita, Yuichiro Yano, J. Bradley Layton, David Vizcaya, Nikolaus G. Oberprieler

Bibliographic record

VenueDiabetes Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsMcMaster University
FundersBayer
KeywordsMedicineType 2 diabetesDiabetes mellitusAgonistKidney diseaseDiseaseCohortInternal medicineReceptorEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: Novel therapies are emerging for the prevention of chronic kidney disease (CKD) progression in patients with type 2 diabetes (T2D). Within the FOUNTAIN platform (NCT05526157; EUPAS48148), this real-world study aimed to characterize cohorts of adults with CKD and T2D starting therapy with a glucagon-like peptide-1 receptor agonist (GLP-1 RA) in Europe, Japan, and the United States (US) during 2012-2021. METHODS: This multinational, multicohort study was conducted in five data sources: the Danish National Health Registers (DNHR) (Denmark), PHARMO Data Network (PHARMO) (The Netherlands), Valencia Health System Integrated Database (VID) (Spain), Japan Chronic Kidney Disease Database Extension (J-CKD-DB-Ex) (Japan), and Optum's de-identified Clinformatics® Data Mart Database (CDM) (US). Eligible patients had T2D (defined by data source-specific algorithms) and CKD (based on diagnosis codes, estimated glomerular filtration rate values, and/or urine albumin-to-creatinine ratio) and initiated an GLP-1 RA during 2012-2021. Baseline demographic, lifestyle, and clinical characteristics were analyzed, and treatment patterns were described. RESULTS: Study cohorts included 18,929 GLP-1 RA initiators in DNHR; 476 in PHARMO; 11,798 in VID; 329 in J-CKD-DB-Ex; and 70,158 in CDM. Across cohorts, mean age ranged from 66.1 years in J-CKD-DB-Ex to 67.9 years in CDM, and between 46.6% (PHARMO) and 59.6% (J-CKD-DB-Ex) of patients were men. There was a steady increase in GLP-1 RA initiators from 2012 (when 1.6-4.8% of GLP-1 RA initiators started therapy) to 2019 (when 19.8-31.5% started therapy). The median duration of initial treatment with a GLP-1 RA ranged from 2.3 months (PHARMO) to 12.4 months (VID). At 1-year follow-up, between 52% (CDM) and 78% (DNHR) of patients were receiving treatment. Findings suggested that GLP-1 RA use was independent of CKD severity. CONCLUSIONS: During 2012-2021, GLP-1 RA use steadily increased across multinational cohorts of patients with T2D and CKD, and persistence with treatment was high. GLP-1 use was independent of CKD severity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.310
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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