Evidence map›Paper›PMID 42812713›Full record

ReviewElectrolyte & blood pressure : E & BP2026

Impact of the Four Pillars on Electrolyte Derangements during State-of-the-Art Therapy for Diabetic Kidney Disease.

Mie Jung Yoo, Shina Lee

Abstract readReview
In one paragraph

Review in Electrolyte & blood pressure : E & BP, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Mie Jung YooDepartment of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0002-4546-1209
Shina LeeDepartment of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-2821-9007

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmacological management of diabetic kidney disease (DKD) has shifted toward a "four-pillar" approach that offers robust cardiorenal protection. While traditional renin-angiotensin system (RAS) inhibitors carry well-documented electrolyte risks, the distinct electrolyte profiles of novel therapies-sodium-glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 receptor agonists (GLP-1 RAs), and non-steroidal mineralocorticoid receptor antagonists (nsMRAs)-warrant a comprehensive understanding. This review examines these drug-induced electrolyte derangements. SGLT2 inhibitors demonstrate a highly favorable safety profile; despite inducing osmotic diuresis, they are notably associated with a reduced risk of hyperkalemia. Similarly, GLP-1 RAs possess an exceptionally low risk of direct renal electrolyte wasting, with imbalances occurring primarily secondary to severe gastrointestinal intolerance. Conversely, nsMRAs, such as finerenone, introduce a mild risk of hyperkalemia, though their unique receptor selectivity significantly diminishes this risk compared to traditional steroidal mineralocorticoid receptor antagonists. Crucially, combining SGLT2 inhibitors and nsMRAs creates a physiological synergy that attenuates hyperkalemic adverse effects while maximizing antiproteinuric benefits. By integrating these complementary mechanisms alongside routine electrolyte monitoring, clinicians can safely sustain these indispensable combination therapies and optimize clinical outcomes in DKD.

Indexed as

Glucagon-like peptide-1 receptor agonistsHyperkalemiaMineralocorticoid receptor antagonistSodium-glucose transporter 2 inhibitor

Identifiers

PMID42812713
PMCPMC13620187

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.