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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: |
ChiCTR1900027318 |
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最近更新日期: Date of Last Refreshed on: |
2019-11-08 21:17:09 |
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注册时间: Date of Registration: |
2019-11-08 00:00:00 |
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注册号状态: |
预注册 |
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Registration Status: |
Prospective registration |
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注册题目: |
糖尿病肾病诊断及疾病进展生物标志物研究 |
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Public title: |
The Project of Biomarkers for Diagnosis and Progression of Diabetic Kidney Disease |
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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: |
糖尿病肾病诊断及疾病进展生物标志物研究 |
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Scientific title: |
The Project of Biomarkers for Diagnosis and Progression of Diabetic Kidney Disease |
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研究课题代号(代码): Study subject ID: |
2018YFC1314002 |
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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: |
冯松涛 |
研究负责人: |
刘必成 |
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Applicant: |
Feng Songtao |
Study leader: |
Liu Bicheng |
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申请注册联系人电话: Applicant telephone: |
+86 13186632692 |
研究负责人电话:
Study leader's |
+86 18001580838 |
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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: |
songtao_feng@126.com |
研究负责人电子邮件: Study leader's E-mail: |
liubc64@163.com |
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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: |
江苏省南京市鼓楼区丁家桥87号求恩公寓309 |
研究负责人通讯地址: |
江苏省南京市玄武区四牌楼2号 |
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Applicant address: |
309 Qiuen Apartment, 87 Ding-Jia-Qiao, Gulou District, Nanjing, Jiangsu, China |
Study leader's address: |
2 Si-Pai-Lou, Xuanwu District, Nanjing, Jiangsu, China. |
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申请注册联系人邮政编码: Applicant postcode: |
210000 |
研究负责人邮政编码: Study leader's postcode: |
210000 |
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申请人所在单位: |
东南大学 |
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Applicant's institution: |
Southeast University |
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研究负责人所在单位: |
东南大学 |
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Affiliation of the Leader: |
Southeast 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: |
2019ZDSYLL057-P01 |
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: |
东南大学附属中大医院临床研究伦理委员会 |
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Name of the ethic committee: |
IEC for Clinical Research of Zhongda Hospital, Affiliated to Southeast University. |
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伦理委员会批准日期: Date of approved by ethic committee: |
2019-05-15 00:00:00 | ||
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伦理委员会联系人: |
王慧萍 |
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Contact Name of the ethic committee: |
Wang Huiping |
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伦理委员会联系地址: |
江苏省南京市鼓楼区丁家桥87号 |
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Contact Address of the ethic committee: |
87 Ding-Jia-Qiao, Gulou District, Nanjing, Jiangsu, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 025-83272015 |
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: |
东南大学 |
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Primary sponsor: |
Southeast University |
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研究实施负责(组长)单位地址: |
江苏省南京市玄武区四牌楼2号 |
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Primary sponsor's address: |
2 Si-Pai-Lou, Xuanwu District, Nanjing, Jiangsu, China |
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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: |
中央财政专项经费 |
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Source(s) of funding: |
Special funds from the central government budget |
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研究疾病: |
糖尿病肾病 |
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Target disease: |
diabetic kidney disease |
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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: |
队列研究 |
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Study design: |
Cohort study |
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研究目的: |
本课题拟基于糖尿病肾病(DKD)大样本生物样本库,应用RNA 高通量检测技术,探讨DKD 尿液脱落细胞转录组学特征,筛选并验证早期诊断及预测DKD 进展的生物标志物。运用机器学习算法,融入当前以微量白蛋白尿测定为基石的DKD 早期诊断体系,构建DKD 精准诊断和预后分层的多指标分类器。开发联合指标检测试剂盒,经过系统评价及优化,临床应用并推广。 |
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Objectives of Study: |
This project intends to explore the transcriptome characteristics of DKD urine exfoliated cells and to screen and verify the biomarkers for early diagnosis and prediction of DKD progress, based on the large cohort biobank and RNA high-throughput detection technology. We plan to use machine learning algorithm to integrate into the current DKD early diagnosis system of microalbuminuria measurement to construct a multi-index classifier with accurate diagnosis and hierarchical prognosis of DKD. In the end, to development of the combined indicator detection kit for clinical application and promotion after systematic evaluation and optimization. |
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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) 年龄18岁~75岁; |
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Inclusion criteria |
(1) Aged 18 ~75 years; |
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排除标准: |
(1) 合并其他肾脏疾病; |
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Exclusion criteria: |
(1) Combined with other kidney diseases; |
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研究实施时间: Study execute time: |
从 From 2019-11-06 00:00:00至 To 2021-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2019-11-06 00:00:00 至 To 2021-12-31 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): |
1. 横断面研究 横断面研究采用分层随机方法。由研究者冯松涛按照每3个月时间间隔将研究对象进行分层,然后在每一层内进行单纯随机抽样。在每一层的N个研究对象的总体中,利用随机数字法按照相同比例抽取n个研究对象组成样本。 2. 队列研究 将DKD作为研究组,糖尿病不合并肾病者作为对照组,两组队列均进行分层抽样。由研究者冯松涛按照每三个月的时间间隔将进行随访的患者进行分层,然后在研究组和对照组进行单纯随机抽样。在每一层的N个研究对象总体中,利用随机数字法按照相同比例抽取n个研究对象,组成研究队列。 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
DKD was used as the study group and diabetic patients without nephropathy as the control group. Stratified sampling was conducted in both groups.The follow-up patients were stratified by researcher Feng songtao at intervals of three months and then randomly sampled in both groups by random number method. |
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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: |
公开/Public |
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盲法: |
未说明 |
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Blinding: |
Not stated |
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试验完成后的统计结果(上传文件): |
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Calculated Results after
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是否共享原始数据: IPD sharing |
是Yes |
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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): |
2022-06-30,项目结题材料 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
2022-06-30, Project Conclusion Material |
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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: |
1. 记录研究对象的基线资料,包括个人信息,临床特征和实验室检查结果等,及时记录本项目进行的相关尿液、血液标志物检测结果以及随访时监测指标的结果。 2. 将研究对象的基线临床资料,相关尿液、血液标志物检测结果,以及患者的临床随访资料等进行电子表格输入和保存,以进行后续的统计分析和临床预测模型建模。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
1. Record the baseline data of the study subjects, including personal information, clinical characteristics and laboratory examination results. Record the results of urine and blood markers test and monitoring indicators of the study subjects during follow-up. 2. The baseline clinical data of the study subjects, the results of relevant urine and blood markers detection, and the clinical follow-up data of the patients were input and saved in the electronic form for subsequent statistical analysis and clinical prediction model modeling. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
暂未确定/Not yet |