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审核状态: Project audit state: |
通过审核 Successful |
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注册号: Registration number: |
ChiCTR2200065036 |
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最近更新日期: Date of Last Refreshed on: |
2022-10-26 18:18:06 |
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注册时间: Date of Registration: |
2022-10-26 00:00:00 |
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注册号状态: |
补注册 |
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Registration Status: |
Retrospective registration |
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注册题目: |
基于CGM的低血糖风险预测和个性化血糖调控 |
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Public title: |
CGM-based hypoglycemia risk prediction and individualized blood glucose regulation |
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注册题目简写: |
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English Acronym: |
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研究课题的正式科学名称: |
基于CGM的低血糖风险预测和个性化血糖调控 |
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Scientific title: |
CGM-based hypoglycemia risk prediction and individualized blood glucose regulation |
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研究课题代号(代码): Study subject ID: |
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在二级注册机构或其它机构的注册号: The registration number of the Partner Registry or other register: |
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申请注册联系人: |
张力引 |
研究负责人: |
杨琳 |
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Applicant: |
Liyin Zhang |
Study leader: |
Lin Yang |
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申请注册联系人电话: Applicant telephone: |
+86 13054190171 |
研究负责人电话:
Study leader's |
+86 13786143139 |
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申请注册联系人传真 : Applicant Fax: |
研究负责人传真: Study leader's fax: |
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申请注册联系人电子邮件: Applicant E-mail: |
liyinzzz@163.com |
研究负责人电子邮件: Study leader's E-mail: |
yanglin_nfm@csu.edu.cn |
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申请单位网址(自愿提供): Applicant website(voluntary supply): |
研究负责人网址(自愿提供): Study leader's website(voluntary supply): |
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申请注册联系人通讯地址: |
湖北省武汉市硚口区航空路13号同济医学院 |
研究负责人通讯地址: |
湖南省长沙市芙蓉区人民中路139号 |
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Applicant address: |
Tongji Medical College, No. 13, Hangkong Road, Qiaokou District, Wuhan, Hubei Province |
Study leader's address: |
No. 139, Renmin Middle Road, Furong District, Changsha City, Hunan Province |
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申请注册联系人邮政编码: Applicant postcode: |
研究负责人邮政编码: Study leader's postcode: |
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申请人所在单位: |
华中科技大学同济医学院 |
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Applicant's institution: |
Tongji Medical College of Huazhong University of Science and Technology |
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研究负责人所在单位: |
中南大学湘雅二医院 |
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Affiliation of the Leader: |
The Second Xiangya Hospital of Central South University |
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是否获伦理委员会批准: |
是 |
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Approved by ethic committee: |
Yes |
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伦理委员会批件文号: Approved No. of ethic committee: |
2019-198 |
伦理委员会批件附件: Approved file of Ethical Committee: |
查看附件View |
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批准本研究的伦理委员会名称: |
中南大学湘雅二医院临床研究伦理委员会 |
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Name of the ethic committee: |
Ethics Review Committee of the Second Xiangya Hospital of Central South University |
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伦理委员会批准日期: Date of approved by ethic committee: |
2019-11-12 00:00:00 | ||
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伦理委员会联系人: |
徐会中 |
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Contact Name of the ethic committee: |
Huizhong Xu |
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伦理委员会联系地址: |
湖南省长沙市芙蓉区人民中路139号 |
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Contact Address of the ethic committee: |
No. 139, Renmin Middle Road, Furong District, Changsha City, Hunan Province, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
073184896038 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
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研究实施负责(组长)单位: |
中南大学湘雅二医院 |
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Primary sponsor: |
Second Xiangya Hospital of Central South University |
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研究实施负责(组长)单位地址: |
湖南省长沙市芙蓉区人民中路139号 |
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Primary sponsor's address: |
No. 139, Renmin Middle Road, Furong District, Changsha City, Hunan Province |
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试验主办单位(项目批准或申办者): Secondary sponsor: |
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经费或物资来源: |
中华人民共和国科学技术部(2018YFC2001005) |
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Source(s) of funding: |
Ministry of Science and Technology of the People's Republic of China (2018YFC2001005) |
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研究疾病: |
糖尿病 |
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Target disease: |
diabetes |
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研究疾病代码: |
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Target disease code: |
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研究类型: |
观察性研究 |
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Study type: |
Observational study |
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研究所处阶段: |
探索性研究/预试验 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Study phase: |
0 |
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研究设计: |
连续入组 |
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Study design: |
Sequential |
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研究目的: |
本研究的目的是利用CGM系统连续采集受试者CGM数值,检测患者胰岛β细胞功能、α细胞功能等指标,结合其它临床信息,建立包括CGM监测结果在内的临床大数据,通过云平台对上述数据进行深度挖掘,筛选出用于低血糖预警的关键信号并建立评估模型;在前瞻性队列中进行验证和优化。患者不同饮食种类、运动类型和强度下的CGM信号;利用云平台的深度学习方法和功能CGM 参数,建立基于CGM的精准指导患者饮食和运动等非药物干预下的个性化调控模型,在前瞻性队列中进行验证和优化。应用CGM系统评估T1DM(包括LADA)患者血糖控制情况以规律佩戴CGM在糖尿病管理中对血糖改善的收益,初步探究血糖波动与T1DM胰岛α细胞和β细胞功能以及并发症的关系,对建立CGM在糖尿病的临床管理中的应用提供证据。 |
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Objectives of Study: |
The purpose of this study is to use CGM system to continuously collect CGM values of subjects, detect islet β-cell function, α-cell function and other indexes, combined with other clinical information, establish clinical big data, including CGM monitoring results, deeply mine the above data through the cloud platform, screen out the key signals for early warning of hypoglycemia and establish an evaluation model, and verify and optimize them in a prospective cohort. CGM signals of patients under different diets, exercise types and intensities; using the deep learning method and functional CGM parameters of cloud platform, a personalized regulation model based on CGM was established to accurately guide patients' diet and exercise under non-drug intervention, which was verified and optimized in a prospective cohort. The CGM system was used to evaluate the blood glucose control in patients with T1DM (including LADA) to evaluate the benefits of regular wearing CGM in diabetes management, and to explore the relationship between blood glucose fluctuation and islet α-cell and β-cell function in T1DM, as well as complications, so as to provide evidence for the application of CGM in the clinical management of diabetes. |
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药物成份或治疗方案详述: |
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Description for medicine or protocol of treatment in detail: |
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纳入标准: |
1型糖尿病组: |
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Inclusion criteria |
Type 1 diabetes group: |
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排除标准: |
①其他特殊类型糖尿病 |
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Exclusion criteria: |
1. Other special types of diabetes; |
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研究实施时间: Study execute time: |
从 From 2019-09-01 00:00:00至 To 2022-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2019-11-12 00:00:00 至 To 2022-12-31 00:00:00 |
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干预措施: Interventions: |
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研究实施地点: Countries of recruitment and research settings: |
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测量指标: Outcomes: |
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采集人体标本:
Collecting sample(s)
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征募研究对象情况: Recruiting status: |
正在进行 Recruiting |
年龄范围: Participant age: |
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性别: |
男女均可 |
Gender: |
Both |
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随机方法(请说明由何人用什么方法产生随机序列): |
本研究为观察性研究,故不涉及随机化。 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
This study was observational and therefore did not involve randomization. |
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是否公开试验完成后的统计结果: Calculated Results after the Study Completed public access: |
不公开/Private |
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盲法: |
无 |
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Blinding: |
None |
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是否共享原始数据: IPD sharing |
否No |
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共享原始数据的方式(说明:请填入公开原始数据日期和方式,如采用网络平台,需填该网络平台名称和网址): |
临床试验公共管理平台,http://www.medresman.org.cn/pub/cn/proj/search.aspx |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
临床试验公共管理平台,http://www.medresman.org.cn/pub/cn/proj/search.aspx |
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数据采集和管理(说明:数据采集和管理由两部分组成,一为病例记录表(Case Record Form, CRF),二为电子采集和管理系统(Electronic Data Capture, EDC),如ResMan即为一种基于互联网的EDC: |
病例记录表 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Care Record Form (CRF) |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |