Study Design and Protocol for a Randomized Controlled Trial to Assess Long-Term Efficacy and Safety of a Triple Combination of Ezetimibe, Fenofibrate, and Moderate-Intensity Statin in Patients with Type 2 Diabetes and Modifiable Cardiovascular Risk Factors (ENSEMBLE).
ENDOCRINOLOGY AND METABOLISM(2024)
Korea Univ | Kyung Hee Univ | Hallym Univ | Seoul Natl Univ | Konkuk Univ | Keimyung Univ | Eulji Univ | Dongguk Univ | Pusan Natl Univ Hosp | Inje Univ | Bucheon Sejong Hosp | Yonsei Univ | Gachon Univ | Hosp Myongji | Chosun Univ | Chung Ang Univ | Chungnam Natl Univ | Chungbuk Natl Univ | Daegu Catholic Univ | Chonnam Natl Univ | Univ Ulsan | Inha Univ | Natl Hlth Insurance Serv | Kyungpook Natl Univ | Chungnam Natl Univ Coll Med | Konyang Univ | Ajou Univ
Abstract
Background Atherogenic dyslipidemia, which is frequently associated with type 2 diabetes (T2D) and insulin resistance, contributes to the development of vascular complications. Statin therapy is the primary approach to dyslipidemia management in T2D, however, the role of non-statin therapy remains unclear. Ezetimibe reduces cholesterol burden by inhibiting intestinal cholesterol absorption. Fibrates lower triglyceride levels and increase high-density lipoprotein cholesterol (HDL-C) levels via peroxisome proliferator-activated receptor alpha agonism. Therefore, when combined, these drugs effectively lower non-HDL-C levels. Despite this, few clinical trials have specifically targeted non-HDL-C, and the efficacy of triple combination therapies, including statins, ezetimibe, and fibrates, has yet to be determined. Methods This is a multicenter, prospective, randomized, open-label, active-comparator controlled trial involving 3,958 eligible participants with T2D, cardiovascular risk factors, and elevated non-HDL-C (≥100 mg/dL). Participants, already on moderate-intensity statins, will be randomly assigned to either Ezefeno (ezetimibe/fenofibrate) addition or statin dose-escalation. The primary end point is the development of a composite of major adverse cardiovascular and diabetic microvascular events over 48 months. Conclusion This trial aims to assess whether combining statins, ezetimibe, and fenofibrate is as effective as, or possibly superior to, statin monotherapy intensification in lowering cardiovascular and microvascular disease risk for patients with T2D. This could propose a novel therapeutic approach for managing dyslipidemia in T2D.
MoreTranslated text
Key words
Diabetes mellitus,type 2,Statin,Ezetimibe,Fibric acids,Dyslipidemias,Cardiovascular diseases
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
2007
被引用975 | 浏览
1992
被引用129 | 浏览
2008
被引用640 | 浏览
2006
被引用140 | 浏览
2014
被引用17 | 浏览
2016
被引用50 | 浏览
2016
被引用168 | 浏览
2018
被引用129 | 浏览
2018
被引用42 | 浏览
2019
被引用64 | 浏览
2019
被引用501 | 浏览
2021
被引用73 | 浏览
2021
被引用42 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper