Evidence mapPaperPMID 41937138Full record

ReviewCardiovascular diabetology2026

Sweet relief: exploring mechanisms and therapeutic approaches of sodium-glucose cotransporter-2 inhibitors in cardiovascular-kidney metabolic syndrome.

Jiaxin Hua, Qingyuan Wang, Ye Liu, Shengwei Luo, Ao Shi, Zhiwei Yan, Jing Zhang, Wenli Gu, Lihan Zhu, Yuling Zhang and 4 more

Abstract readReview
In one paragraph

Review in Cardiovascular diabetology, 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

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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Jiaxin Hua *Jiujiang Clinical Precision Medicine Research Center, Jiujiang, China.
Qingyuan Wang *Department of Endocrinology and Metabolism, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Ye LiuDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Shengwei LuoCentre for Behavioural & Implementation Science Interventions, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ao ShiDepartment of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China, Shanghai, China.
Zhiwei YanProvincial University Key Laboratory of Sport and Health Science, School of Physical Education and Sport Sciences, Fujian Normal University, Fuzhou, Fujian, China.
Jing ZhangDepartment of Anesthesiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Wenli GuCardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Pok Fu Lam Rd 102. Hong Kong Island, Hong Kong, China.
Lihan ZhuDepartment of Physiology & Biomedical Sciences, Ischemic/Hypoxic Disease Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Yuling ZhangDepartment of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat- sen University, Guangzhou, China.
Lin ZhangDepartment of Epidemiology and Preventive Medicine, The School of Public Health and Preventive Medicine, Monash University, Clayton, Australia.
Peng YuJiujiang Clinical Precision Medicine Research Center, Jiujiang, China. yu8220182@163.com.
Xiao LiuJiujiang Clinical Precision Medicine Research Center, Jiujiang, China. liux587@mail.sysu.edu.cn.
Wenting WangDepartment of Anesthesiology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China. wangwentingtn@sina.com.

Funding

Hengrui Diabetes Metabolism Research Fund Z-2017-26-2202-4Jiangxi Province Thousands of Plans jxsq2023201105National Natural Science Foundation of China 82100869National Natural Science Foundation of China 82160371Natural Science Foundation of Jiangxi Province 20212BAB216047Natural Science Foundation of Jiangxi Province 20212BAB216051
6 · The paper itself

Abstract

The escalating global burden of chronic multimorbidity has necessitated a fundamental transition from organ-centric treatment models toward integrated, multisystemic management strategies. Central to this evolution is the recognition of the cardiovascular–kidney–liver-metabolic (CKM) syndrome, a clinical framework arising from the profound and bidirectional pathophysiological crosstalk between metabolic dysfunction, chronic kidney disease, and heart failure. Sodium-glucose cotransporter-2 inhibitors (SGLT-2i) have transitioned from simple glucose-lowering drug to a critical pillar of the area of cardiovascular metabolism, demonstrating profound benefits across the cardiovascular, metabolism and renal systems. These therapeutic effects are driven by a complex interplay of hemodynamic and non-hemodynamic mechanisms, including the restoration of tubuloglomerular feedback, optimization of myocardial energetics, and the attenuation of systemic inflammation and oxidative stress. This pharmacological profile aligns precisely with the multi-stage progression of CKM syndrome, offering a cohesive intervention to interrupt the vicious cycle of systemic risk. In this review, we delineated the mechanistic pathways by which SGLT-2i modulate the CKM axis and evaluate the clinical evidence supporting its important role for integrated CKM management, providing a comprehensive perspective on optimizing long-term outcomes through multisystemic targeting.

Indexed as

Blood GlucoseCardio-Renal SyndromeDiabetes Mellitus, Type 2KidneyMetabolic SyndromeSodium-Glucose Transporter 2 InhibitorsAnimalsEnergy MetabolismHumansSignal TransductionTreatment OutcomeBlood GlucoseSodium-Glucose Transporter 2 InhibitorsCardiorenal protectionCardiovascular-kidney-metabolicSGLT-2iType 2 diabetes

Identifiers

PMID41937138
PMCPMC13067429

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.