Evidence map›Paper›PMID 42862437›Full record

ArticleAdvances in therapy2026

Cardiorenal Protective Glucose-Lowering Treatment Patterns in Type 2 Diabetes Mellitus Based on a Real-World Study: A Clinical Phenotype Cluster Analysis.

Wenjia Yang, Shuzhen Bai, Xiaoling Cai, Ming Liu, Qiuhe Ji, Yanbing Li, Bo Feng, Nanwei Tong, Han Wu, Jingya Yan and 2 more

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Article in Advances in therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

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12 authors.

Wenjia Yang *Department of Endocrinology and Metabolism, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Shuzhen Bai *Department of Endocrinology and Metabolism, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Xiaoling CaiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China. dr_junel@sina.com.ORCID http://orcid.org/0000-0002-7881-0543
Ming LiuDepartment of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, 300052, China.
Qiuhe JiDepartment of Endocrinology, Xi'an International Medical Center Hospital, Xi'an, 710100, Shanxi, China.
Yanbing LiDepartment of Endocrinology and Diabetes Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Bo FengDepartment of Endocrinology, Shanghai East Hospital, Tongji University, Shanghai, 200120, China.
Nanwei TongDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, 610041, China.
Han WuDepartment of Endocrinology and Metabolism, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Jingya YanDepartment of Endocrinology and Metabolism, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Wei ZhaoDepartment of Endocrinology and Metabolism, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
Linong JiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China. jiln@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-3262-2168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiorenal protective glucose-lowering treatments (CPT), consisting of sodium-glucose cotransporter 2 inhibitors (SGLT2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs), are widely applied in clinical management of patients with type 2 diabetes mellitus (T2DM). This study aimed to identify distinct clinical phenotypes linked to CPT prescribing patterns and construct a multilevel correlation framework for standardized CPT clinical application.

methodsData were extracted from the baseline dataset of an observational registry cohort study across 61 medical centers between 2023 and 2024. Based on multiple factors, clinical phenotypes of patients were identified via the Partitioning Around Medoids (PAM) clustering algorithm, CPT utilization was compared across different phenotypes.

resultsA total of 9000 patients with T2DM were enrolled [median age 55 (46, 63) years, 60.8% male and 39.2% female, median diabetes duration 5.37 (0.85, 11.44) years]. Three clinically distinct phenotypes were identified: Cluster 1 [older patients with high atherosclerotic cardiovascular disease (ASCVD) risk], Cluster 2 (metabolically stable patients without cardiorenal risk), and Cluster 3 (younger patients with obesity, high metabolic risk and short diabetes duration). The CPT utilization rates of the three clusters were 49.0%, 44.1% and 51.1%, respectively (P < 0.001), with Cluster 3 having the highest rate. Cluster 2 was dominated by SGLT2is monotherapy (73.1%). Cluster 3 showed a marked preference for GLP-1RAs-based regimens (43.6% in total), whereas Cluster 1 had an intermediate proportion of GLP-1RAs-related regimens (31.5%).

conclusionThree clinical phenotypes were identified via cluster analysis. The younger obese group with high metabolic risk had the highest CPT utilization rate and preferred GLP-1RAs, while the older group with high ASCVD risk was predominantly treated with SGLT2is alone.

trial registrationThe trial was registered with https://www.chictr.org.cn/ under registration number ChiCTR230007376 on 20 July 2023.

Indexed as

Cardiorenal protective glucose-lowering treatmentsGlucagon-like peptide-1 receptor agonistsReal-world studySodium–glucose cotransporter-2 inhibitorsType 2 diabetes mellitus

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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.