Evidence map›Paper›PMID 39883288›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2025

Cardiovascular Outcomes in Patients with Complex Type 2 Diabetes Mellitus Treated with the Dual SGLT Inhibitor Sotagliflozin: A Meta-analysis.

Hong Wang, Quannan Zu, Ming Lu, Rongfa Chen, Zhangui Tang, Zhiren Yang

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2025. 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

6 authors.

Hong WangDepartment of Cardiology, The Peoples Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, People's Republic of China. iriswh2014@163.com.
Quannan ZuCollege of Management and Economics, Tianjin University, Tianjin, 300072, People's Republic of China.
Ming LuCollege of Management and Economics, Tianjin University, Tianjin, 300072, People's Republic of China.
Rongfa ChenThe State Key Laboratory Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China.
Zhangui TangInstitute of Cardiovascular Disease, Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, 430032, People's Republic of China.
Zhiren YangThe State Key Laboratory Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China.

Funding

Guangxi Key Research and Development Program AB22035078Guangxi Nanning Qingxiu District Science and Technology Development Project 2014S06Specific Research Project of Guangxi for Research Bases and Talents S2017077
6 · The paper itself

Abstract

introductionScientific publications have shown sodium-glucose co-transporter-2 (SGLT2) inhibitors to have several beneficial effects in patients with complex type 2 diabetes mellitus (T2DM). However, sodium-glucose co-transporter-1 (SGLT-1) inhibitor is still under investigation in clinical trials. Recently, a dual inhibitor of sodium-glucose co-transporter (SGLT1/2), sotagliflozin, has been approved for use in patients with T2DM. In this analysis, we aimed to systematically compare the cardiovascular outcomes in patients with complex T2DM who were treated with the newly approved dual (SGLT 1 and 2) inhibitor sotagliflozin.

methodsElectronic databases, including Embase, MEDLINE, http://www. CLINICALTRIALS: gov , Web of Science, Google Scholar, the Cochrane database, and reference lists of relevant publications, were searched for publications comparing the novel SGLT1/2 inhibitor versus placebo for the treatment of patients with complex T2DM. The primary endpoint, including total number of deaths from cardiovascular causes, hospitalization for heart failure, and urgent visits for heart failure, death from cardiovascular causes, cardiac mortality, hospitalization for heart failure, non-fatal myocardial infarction, and total number of cardiac events, were considered as the endpoints in this analysis. The RevMan software version 5.4 was used to carry out the statistical analysis. Risk ratios (RR) with 95% confidence intervals (CI) were used to represent the data following analysis.

resultsA total of 13,054 participants enrolled between 2017 and 2020 were included in this analysis, with 6734 participants assigned to sotagliflozin and 6320 assigned to placebo. The results of this analysis showed that the primary endpoint was significantly in favor of sotagliflozin with (RR: 0.73, 95% CI 0.67-0.80; P = 0.00001). Hospitalization for heart failure (RR: 0.67, 95% CI 0.60-0.75; P = 0.00001) and the total number of cardiac events (RR: 0.73, 95% CI 0.67-0.79; P = 0.00001) were also significantly lower with sotagliflozin when compared to placebo in these patients with complex T2DM. However, the risk for cardiovascular mortality and non-fatal myocardial infarction were not significantly different with (RR: 0.91, 95% CI 0.76-1.09; P = 0.31) and (RR: 0.92, 95% CI 0.27-3.12; P = 0.89), respectively.

conclusionsCardiovascular outcomes, including the total number of adverse cardiac events and hospitalization for heart failure, were significantly reduced with the newly approved SGLT1/2 inhibitor sotagliflozin apparently showing its cardiovascular efficacy in patients with complex T2DM. Future trials with larger sample sizes and a longer follow-up time could possibly confirm this hypothesis.

Indexed as

Cardiovascular mortalityChronic kidney diseaseDiabetes mellitusDual SGLT inhibitorHeart failureSotagliflozin

Identifiers

PMID39883288
PMCPMC11867987

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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.