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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: |
ChiCTR2300069935 |
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最近更新日期: Date of Last Refreshed on: |
2023-05-27 15:30:11 |
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注册时间: Date of Registration: |
2023-03-29 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: |
老年心肺功能减退及相关疾病预警、分层、干预的临床影像技术集成与多中心数据库构建 |
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Public title: |
Integration of clinical imaging technology and construction of multi-center database for early warning, stratification and intervention of senile cardiopulmonary dysfunction and related diseases |
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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: |
老年心肺功能减退及相关疾病预警、分层、干预的临床影像技术集成与多中心数据库构建 |
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Scientific title: |
Integration of clinical imaging technology and construction of multi-center database for early warning, stratification and intervention of senile cardiopulmonary dysfunction and related diseases |
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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: |
范丽 |
研究负责人: |
范丽 |
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Applicant: |
Li Fan |
Study leader: |
Li Fan |
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申请注册联系人电话: Applicant telephone: |
+86 135 6468 4699 |
研究负责人电话: Study leader's telephone: |
+86 135 6468 4699 |
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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: |
fanli0930@163.com |
研究负责人电子邮件: Study leader's E-mail: |
fanli0930@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: |
上海市黄浦区凤阳路415号长征医院住院部3楼 |
研究负责人通讯地址: |
上海市黄浦区凤阳路415号长征医院住院部3楼 |
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Applicant address: |
3rd Floor, Inpatient Department of Changzheng Hospital, 415 Fengyang Road, Huangpu District, Shanghai |
Study leader's address: |
3rd Floor, Inpatient Department of Changzheng Hospital, 415 Fengyang Road, Huangpu District, Shanghai |
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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: |
上海长征医院 |
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Applicant's institution: |
shanghai changzheng hospital |
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研究负责人所在单位: |
上海长征医院 |
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Affiliation of the Leader: |
shanghai changzheng hospital |
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是否获伦理委员会批准: |
是/Yes |
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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: |
2022SL069 |
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: |
上海长征医院医学伦理委员会 |
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Name of the ethic committee: |
Shanghai changzheng hospital Medical Ethics Committee |
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伦理委员会批准日期: Date of approved by ethic committee: |
2022-12-06 00:00:00 |
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伦理委员会联系人: |
徐正梅 |
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Contact Name of the ethic committee: |
ZhengMei Xu |
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伦理委员会联系地址: |
上海长征医院 |
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Contact Address of the ethic committee: |
shanghai changzheng hospital |
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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: |
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研究实施负责(组长)单位: |
上海长征医院 |
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Primary sponsor: |
shanghai changzheng hospital |
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研究实施负责(组长)单位地址: |
上海市黄浦区凤阳路415号 |
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Primary sponsor's address: |
415 Fengyang Road, Huangpu District, Shanghai |
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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: |
科技部 |
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Source(s) of funding: |
Ministry of Science and Technology |
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Target disease: |
Cardiopulmonary hypofunction |
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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: |
其它 | ||||||||||||||||||||||
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Study phase: |
N/A |
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研究设计: |
横断面 |
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Study design: |
Cross-sectional |
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研究目的: |
在不同地区开展老年人(≥60 岁)心肺功能及相关疾病横断面调查,依据现有临床诊断体系对于结果进行分层;对心肺功能正常人群和减退人群,开展 CT 检查和心肺运动试验(CPET)及随访,研究基于 AI 辅助的融合 CT、心肺运动试验、肺功能、心功能及实验室检查的综合性老年心肺功能正常值区间,制定多维早期预警标准及相应的质控标准;对现有临床诊断体系已确诊的心肺疾患,构建基于影像学及临床指征的严重度分层评估标准及质控标准。形成影像学、临床资料、检验以及流调、随访的多维度数据集,构建支持多元大数据分析与 AI 的老年心肺功能减退及相关疾病结构化数据库,依托多中心分布式云+边计算多元大数据分析,高效支持多中心研究与相关 AI 研发;集成多学科协同主动健康管理、心肺运动代谢评估、心肺协同优先诊疗等模块,形成 AI 辅助心肺功能筛查及预警、评价、干预一体化的技术体系,开展培训推广与应用示范。与中国健促会胸部重大慢病早诊早治公益培训、工信部胸部重大疾病早筛早诊连续服务体系构建与应用示范项目连接、互动、促进。 |
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Objectives of Study: |
Cross-sectional survey of cardiopulmonary function and related diseases of the elderly (>=60 years old) was carried out in different areas, and the results were stratified according to the existing clinical diagnosis system; Carry out CT examination and cardiopulmonary exercise test (CPET) and follow-up for people with normal cardiopulmonary function and those with decreased cardiopulmonary function, study the comprehensive normal range of cardiopulmonary function of the elderly based on AI-assisted integration of CT, cardiopulmonary exercise test, lung function, cardiac function and laboratory examination, and formulate multi-dimensional early warning standards and corresponding quality control standards; For the heart and lung diseases diagnosed by the existing clinical diagnosis system, the grading evaluation standard and quality control standard of severity based on imaging and clinical indications are constructed. Form a multi-dimensional data set of imaging, clinical data, testing, flow adjustment and follow-up, build a structured database of elderly cardiopulmonary dysfunction and related diseases that supports multivariate big data analysis and AI, and rely on multicenter distributed cloud+edge computing multivariate big data analysis to efficiently support multicenter research and related AI research and development; Integrate multidisciplinary collaborative active health management, cardiopulmonary exercise metabolism evaluation, cardiopulmonary collaborative priority diagnosis and treatment modules, form a technical system of AI-assisted cardiopulmonary function screening, early warning, evaluation and intervention, and carry out training promotion and application demonstration. With the China Health Promotion Association, the chest is heavy Public welfare training for early diagnosis and treatment of major and chronic diseases, construction of continuous service system for early screening and early diagnosis of major chest diseases of the Ministry of Industry and Information Technology, and connection, interaction and promotion of application demonstration projects. |
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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、健康志愿者的纳入标准: |
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Inclusion criteria |
1. Inclusion criteria of healthy volunteers: |
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排除标准: |
处于妊娠期或哺乳期者;有胸部手术史、对本研究应用的检查方法有禁忌者;合并有心血管、肝、肾和造血系统等严重原发性疾病,精神病患者。 |
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Exclusion criteria: |
Those who are pregnant or lactating; Patients with a history of chest operation and contraindication of the examination methods used in this study; Patients with severe primary diseases of cardiovascular, liver, kidney and hematopoietic systems and mental disorders. |
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研究实施时间: Study execute time: |
从 From 2022-12-07 00:00:00至 To 2026-07-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2023-03-29 00:00:00 至 To 2026-07-31 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: |
尚未开始 Not yet 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): |
无 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
N/A |
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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: |
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Blinding: |
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是否共享原始数据: IPD sharing |
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): |
ResMan, http://www.medresman.org.cn/login.aspx(请阅读网页注册指南中关于原始数据共享的内容) |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
ResMan, http://www.medresman.org.cn/login.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: |
以病例报告表收集基本信息,正在建立数据库管理平台,进行数据的集中存储分析。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Basic information is collected by case report form, and a database management platform is being established for centralized storage and analysis of data. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |