|
审核状态: Project audit state: |
通过审核 Successful |
|
注册号: Registration number: |
ChiCTR2000035380 |
|
最近更新日期: Date of Last Refreshed on: |
2020-08-10 05:25:28 |
|
注册时间: Date of Registration: |
2020-08-09 00:00:00 |
|
注册号状态: |
预注册 |
|
Registration Status: |
Prospective registration |
|
注册题目: |
多组学联合分析评价慢性气道疾病表型、疗效及预后的临床研究 |
|
Public title: |
A clinical research on the multi-omics analysis in the clinical feature, therapeutic effect and prognosis in chronic airway diseases |
|
注册题目简写: |
|
|
English Acronym: |
|
|
研究课题的正式科学名称: |
多组学联合分析评价慢性气道疾病表型、疗效及预后的临床研究 |
|
Scientific title: |
A clinical research on the multi-omics analysis in the clinical feature, therapeutic effect and prognosis in chronic airway diseases |
|
研究课题代号(代码): Study subject ID: |
|
|
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: |
|
申请注册联系人: |
顾问 |
研究负责人: |
顾问 |
|
Applicant: |
Gu Wen |
Study leader: |
Gu Wen |
|
申请注册联系人电话: Applicant telephone: |
+86 13621892405 |
研究负责人电话:
Study leader's |
+86 13621892405 |
|
申请注册联系人传真 : Applicant Fax: |
研究负责人传真: Study leader's fax: |
||
|
申请注册联系人电子邮件: Applicant E-mail: |
guwen@xinhuamed.com.cn |
研究负责人电子邮件: Study leader's E-mail: |
guwen@xinhuamed.com.cn |
|
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): |
||
|
申请注册联系人通讯地址: |
中国上海市杨浦区控江路1665号 |
研究负责人通讯地址: |
中国上海市杨浦区控江路1665号 |
|
Applicant address: |
1665 Kongjiang Road, Yangpu District, Shanghai, China |
Study leader's address: |
1665 Kongjiang Road, Yangpu District, Shanghai, China |
|
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: |
||
|
申请人所在单位: |
上海交通大学医学院附属新华医院 |
||
|
Applicant's institution: |
Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University |
||
|
研究负责人所在单位: |
上海交通大学医学院附属新华医院 |
||
|
Affiliation of the Leader: |
Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University |
||
|
是否获伦理委员会批准: |
是 |
||
|
Approved by ethic committee: |
Yes |
||
|
伦理委员会批件文号: Approved No. of ethic committee: |
XHEC-SHHDC-2020-004 |
伦理委员会批件附件: Approved file of Ethical Committee: |
查看附件View |
|
批准本研究的伦理委员会名称: |
上海交通大学医学院附属新华医院医学伦理委员会 |
||
|
Name of the ethic committee: |
Xinhua Hospital Ethics Committee Affiliated to Shanghai Jiao Tong University School of Medicine |
||
|
伦理委员会批准日期: Date of approved by ethic committee: |
2020-08-07 00:00:00 | ||
|
伦理委员会联系人: |
施敏 |
||
|
Contact Name of the ethic committee: |
Shi Min |
||
|
伦理委员会联系地址: |
中国上海市杨浦区控江路1665号 |
||
|
Contact Address of the ethic committee: |
1665 Kongjiang Road, Yangpu District, Shanghai, China |
||
|
伦理委员会联系人电话: Contact phone of the ethic committee: |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
||
|
研究实施负责(组长)单位: |
上海交通大学医学院附属新华医院 |
||||||||||||||||||||||
|
Primary sponsor: |
Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University |
||||||||||||||||||||||
|
研究实施负责(组长)单位地址: |
中国上海市杨浦区控江路1665号 |
||||||||||||||||||||||
|
Primary sponsor's address: |
1665 Kongjiang Road, Yangpu District, Shanghai, China |
||||||||||||||||||||||
|
试验主办单位(项目批准或申办者): Secondary sponsor: |
|
||||||||||||||||||||||
|
经费或物资来源: |
自发 |
||||||||||||||||||||||
|
Source(s) of funding: |
None |
||||||||||||||||||||||
|
研究疾病: |
慢性气道疾病 |
||||||||||||||||||||||
|
Target disease: |
chronic airway disease |
||||||||||||||||||||||
|
研究疾病代码: |
|
||||||||||||||||||||||
|
Target disease code: |
|
||||||||||||||||||||||
|
研究类型: |
观察性研究 |
||||||||||||||||||||||
|
Study type: |
Observational study |
||||||||||||||||||||||
|
研究所处阶段: |
探索性研究/预试验 | ||||||||||||||||||||||
|
Study phase: |
0 |
||||||||||||||||||||||
|
研究设计: |
析因分组(即根据危险因素或暴露因素分组) |
||||||||||||||||||||||
|
Study design: |
Factorial |
||||||||||||||||||||||
|
研究目的: |
1. 用微生物组学和代谢组学等多组学联合分析的方法,对慢性气道疾病进行评估及表型分类。 2. 深度学习的人工智能方法进行慢性气道疾病影像组学和病理学分析,指导治疗及预后评价。建立慢性气道疾病人工智影像和病理识别模型。 3. 临床、影像和病理、分子生物学相结合,借助人工智能及生物信息分析技术,建立更为精准的慢性气道疾病的评价网络,指导治疗及疾病风险预测、预后评估。 |
||||||||||||||||||||||
|
Objectives of Study: |
1. Multi-omics analysis, including microbiome and metabolomics were used to evaluation chronic airway diseases for phenotype classification; 2. Deeping learning, a branch of Artificial Intelligence, were used to analyze the imaging and pathological images of chronic airway diseases, in order to construct an artificial intelligence model, for treatment instruction and prognosis evaluation; 3. Based on the clinical characteristics, imaging and pathological image, molecular biology methods, using AI and bioinformatics analysis, a precise evaluation and management system for chronic airway diseases was constructed, to indicate risk prediction and prognosis. |
||||||||||||||||||||||
|
药物成份或治疗方案详述: |
|
||||||||||||||||||||||
|
Description for medicine or protocol of treatment in detail: |
|
||||||||||||||||||||||
|
纳入标准: |
哮喘组入选标准: |
||||||||||||||||||||||
|
Inclusion criteria |
Asthma group: |
||||||||||||||||||||||
|
排除标准: |
1. 1月内静脉应用糖皮质激素和其他免疫抑制剂; |
||||||||||||||||||||||
|
Exclusion criteria: |
1. History of intravenous glucocorticoid or other immunosuppressive agents use within one month; |
||||||||||||||||||||||
|
研究实施时间: Study execute time: |
从 From 2020-10-01 00:00:00至 To 2023-09-30 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2020-10-01 00:00:00 至 To 2023-09-30 00:00:00 |
|
干预措施: Interventions: |
|
|
研究实施地点: Countries of recruitment and research settings: |
|
||||||||||||||||||||||||||||
|
测量指标: Outcomes: |
|
|
采集人体标本:
Collecting sample(s)
|
|
|
征募研究对象情况: Recruiting status: |
尚未开始 Not yet recruiting |
年龄范围: Participant age: |
|
||||||
|
性别: |
男女均可 |
Gender: |
Both |
||||||
|
随机方法(请说明由何人用什么方法产生随机序列): |
本研究为病理对照研究,不涉及随机化。 |
||||||||
|
Randomization Procedure (please state who generates the random number sequence and by what method): |
Randomization is not required for the case-control study. |
||||||||
|
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 |
|
盲法: |
|
|
Blinding: |
|
|
试验完成后的统计结果(上传文件): |
|
|
Calculated Results after
|
|
|
是否共享原始数据: IPD sharing |
是Yes |
|
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): |
原始数据将试验完成后6个月内公开,需向项目负责人索取。 |
|
The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Raw data will be released within six months after the trial completed and which will be provided by the study leader. |
|
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: |
数据采集由病例记录表完成。 |
|
Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Data will be collected by Case Record Form. |
|
数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |