Evidence map›Paper›PMID 39836391›Full record

ArticleJAMA internal medicine2025

Effectiveness of Empagliflozin vs Dapagliflozin for Kidney Outcomes in Type 2 Diabetes.

Kasper Bonnesen, Uffe Heide-Jørgensen, Diana H Christensen, Christian F Christiansen, Timothy L Lash, Sean Hennessy, Anthony A Matthews, Lars Pedersen, Reimar W Thomsen, Morten Schmidt

Abstract readComparative Study
In one paragraph

Article in JAMA internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Kasper BonnesenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Uffe Heide-JørgensenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Diana H ChristensenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Christian F ChristiansenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Timothy L LashDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Sean HennessyDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Anthony A MatthewsUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Lars PedersenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Reimar W ThomsenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Morten SchmidtDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: No large randomized clinical trial has directly compared empagliflozin with dapagliflozin, leaving their comparative effectiveness regarding kidney outcomes unknown. Objective: To compare kidney outcomes between initiation of empagliflozin vs dapagliflozin in adults with type 2 diabetes who were receiving antihyperglycemic treatment. Design, Setting, and Participants: This target trial emulation used nationwide, population-based routinely collected Danish health care data to compare initiation of empagliflozin vs dapagliflozin in adults with type 2 diabetes who received antihyperglycemic treatment between June 1, 2014, and October 31, 2020. Data were analyzed from October 2023 to August 2024. Persons were followed up until an outcome, emigration, death, 6 years, or December 31, 2021, whichever occurred first. Exposure: Initiation of empagliflozin vs dapagliflozin. Main Outcomes and Measures: Outcomes included acute kidney injury, incident chronic kidney disease (stages G3 to G5 or stage A2 or A3), and progression of chronic kidney disease (≥40% decrease in estimated glomerular filtration rate from baseline). Risks of kidney outcomes were estimated in intention-to-treat and per-protocol analyses using an Aalen-Johansen estimator that adjusted for 56 potential confounders and considered death as a competing event. Results: A total of 32 819 individuals who initiated treatment with empagliflozin and 17 464 with dapagliflozin were included (median [IQR] age, 63 [54-71] years; 18 872 female individuals [37.5%]; median [IQR] estimated glomerular filtration rate, 88 [73-104] mL/min/1.73 m2). After weighting, all measured covariates were well balanced between the groups. In intention-to-treat analyses, people who initiated treatment with empagliflozin and dapagliflozin exhibited comparable 6-year risks of acute kidney injury (18.2% vs 18.5%; risk ratio, 0.98; 95% CI, 0.91-1.06), chronic kidney disease stages G3 to G5 (11.8% vs 12.1%; risk ratio, 0.97; 95% CI, 0.89-1.05), chronic kidney disease stage A2 or A3 (14.8% vs 14.3%; risk ratio, 1.04; 95% CI, 0.93-1.15), and progression of chronic kidney disease (5.3% vs 5.7%; risk ratio, 0.94; 95% CI, 0.56-1.58). The primary analyses were supported by corresponding per-protocol analyses. Conclusions and Relevance: The results of this cohort study suggest that people with type 2 diabetes who initiated treatment with empagliflozin and dapagliflozin had comparable long-term kidney outcomes.

Indexed as

Acute Kidney InjuryBenzhydryl CompoundsDiabetes Mellitus, Type 2Diabetic NephropathiesGlucosidesHypoglycemic AgentsRenal Insufficiency, ChronicSodium-Glucose Transporter 2 InhibitorsAgedDenmarkDisease ProgressionFemaleGlomerular Filtration RateHumansMaleMiddle AgedBenzhydryl CompoundsdapagliflozinempagliflozinGlucosidesHypoglycemic AgentsSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID39836391
PMCPMC11877187

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.