Evidence mapPaperPMID 41732041Full record

ArticleJournal of Korean medical science2026

Heterogeneous Kidney Patterns in Diabetic Patients Following SGLT2 Inhibitor Use.

Sohyun Bae, Donghwan Yun, Jeeyoung Kim, Sehoon Park, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Seung Seok Han

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Sohyun BaeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0008-9620-2104
Donghwan YunDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6566-5183
Jeeyoung KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0003-8616-3686
Sehoon ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-4221-2453
Yong Chul KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3215-8681
Dong Ki KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5195-7852
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9525-2179
Kwon Wook JooDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9941-7858
Yon Su KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3091-2388
Seung Seok HanDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea. hansway7@snu.ac.kr.ORCID https://orcid.org/0000-0003-0137-5261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough sodium-glucose cotransporter 2 inhibitors (SGLT2is) slow the progression of kidney disease in diabetic patients, whether certain subsets of diabetic patients present heterogeneous phenotypes, such as a rapid deterioration of kidney function, following SGLT2i use remains unclear. This study aimed to clarify these heterogeneous responses and identify the factors contributing to them through a kidney function trajectory analysis.

methodsThis retrospective cohort study included 66,375 patients who visited the diabetes clinic for type 2 diabetes management, 5,209 of whom were prescribed SGLT2is. The median duration of SGLT2i prescription was 29.0 months (interquartile range, 16.3 to 49.0 months). Patterns of estimated glomerular filtration rate (eGFR) trajectories were analyzed using a latent class linear mixed model for 4,185 patients, with a median follow-up duration of 29.7 months (interquartile range, 17.1 to 34.1 months) and factors associated with these patterns were evaluated via multinomial logistic regression analysis.

resultsFour distinct eGFR trajectory patterns were identified: 3,636 (86.9%) in class 1 (high baseline, stable eGFR), 440 (10.5%) in class 2 (low baseline, stable eGFR), 73 (1.7%) in class 3 (high baseline, rapidly declining eGFR), and 36 (0.9%) in class 4 (low baseline, rapidly declining eGFR). A rapid eGFR decline was more common in younger patients with substantial albuminuria, and hypoalbuminemia. Patients in the rapidly declining eGFR classes had higher risks of hospitalization and death than those in stable eGFR classes did.

conclusionThe heterogeneity in eGFR trajectories following SGLT2i use suggests that not all patients benefit equally from this therapy. Identifying patients at risk of a rapid eGFR decline is critical for providing timely warnings and optimizing treatment strategies.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsKidneySodium-Glucose Transporter 2 InhibitorsAgedAlbuminuriaDiabetic NephropathiesDisease ProgressionFemaleGlomerular Filtration RateHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesHypoglycemic AgentsSodium-Glucose Transporter 2 InhibitorsDiabetes ComplicationsDiabetes MellitusDiabetic NephropathiesEstimated Glomerular Filtration Rate (eGFR)Sodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID41732041
PMCPMC12928996

What Socratic holds

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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 Socratic graph.