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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: |
ChiCTR2300068845 |
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最近更新日期: Date of Last Refreshed on: |
2023-03-01 15:36:22 |
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注册时间: Date of Registration: |
2023-03-01 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: |
基于智能手机APP程序管理超重/ 肥胖孕妇孕期体重对剖宫产率的影响 |
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Public title: |
Effect of the smartphone application to manage gestational weight on caesarean section in overweight and obese pregnant women |
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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APP程序管理超重/ 肥胖孕妇孕期体重对剖宫产率的影响 |
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Scientific title: |
Effect of the application to manage gestational weight on caesarean section in overweight and obese pregnant women |
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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: |
冯轶 |
研究负责人: |
周莉 |
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Applicant: |
Yi Feng |
Study leader: |
Li Zhou |
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申请注册联系人电话: Applicant telephone: |
010-52272115 |
研究负责人电话: Study leader's telephone: |
010-52272699 |
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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: |
fengyi_2004@mail.ccmu.edu.cn |
研究负责人电子邮件: Study leader's E-mail: |
zhouliyz@ccmu.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: |
北京市朝阳区姚家园路251号 |
研究负责人通讯地址: |
北京市朝阳区姚家园路251号 |
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Applicant address: |
No.251 Yaojiayuan Road, Chaoyang District, Beijing |
Study leader's address: |
No.251 Yaojiayuan Road, Chaoyang District, Beijing |
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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: |
首都医科大学附属北京妇产医院/北京妇幼保健院 |
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Applicant's institution: |
Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Beijing Maternal and Child Health Care Hospital |
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研究负责人所在单位: |
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Affiliation of the Leader: |
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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: |
2020-KY-033-01 |
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: |
首都医科大学附属北京妇产医院医学伦理委员会 |
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Name of the ethic committee: |
Ethic committee of Beijing Obstetrics and Gynecology Hospital, Capital Medical University |
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伦理委员会批准日期: Date of approved by ethic committee: |
2020-06-15 00:00:00 |
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伦理委员会联系人: |
张建 |
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Contact Name of the ethic committee: |
Jian Zhang |
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伦理委员会联系地址: |
北京市朝阳区团结湖北五条团结湖街道社区服务中心201室 |
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Contact Address of the ethic committee: |
Room201, Tuanjiehu Community service center, Tuanjiehu Beiwutiao, Chaoyang District, Beijing |
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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: |
首都医科大学附属北京妇产医院/北京妇幼保健院 |
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Primary sponsor: |
Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Beijing Maternal and Child Health Care Hospital |
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研究实施负责(组长)单位地址: |
北京市朝阳区姚家园路251号 |
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Primary sponsor's address: |
No.251 Yaojiayuan Road, Chaoyang District, Beijing |
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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: |
首都卫生发展科研专项 |
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Source(s) of funding: |
Beijing Municipal Health Commission Grant |
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Target disease: |
caesarean section |
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Target disease code: |
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研究类型: |
干预性研究 |
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Study type: |
Interventional 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: |
随机平行对照 |
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Study design: |
Parallel |
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研究目的: |
通过使用 APP 严格管理孕期体重增长,改善分娩结局 |
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Objectives of Study: |
To evaluate the effect of the smartphone application, which aims to control the gestational weight gain, on the rate of caesarean section in women with overweight and obesity. |
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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. 孕前 BMI≥24kg/m2 孕妇;2. 既往无分娩史;3.宫内孕单胎妊娠; 4. 在本研究机构建档,规律产检直至分娩;5. 妊娠妇女年龄在 20-40 岁; 6. 足月临产 |
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Inclusion criteria |
1. Pre-pregnant BMI≥24kg/m2; 2. No previous history of childbirth; 3. Singleton pregnancy; 4. Routine antenatal care until delivery in our hospital; 5. Age between 20-40 years old; 6. Full term delivery. |
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排除标准: |
1. 孕前糖尿病、高血压、心脏病等病史;2. 合并系统性红斑狼疮等风湿免疫病史; 3. 双胎妊娠;4. 早产。 |
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Exclusion criteria: |
1. pre-pregnant diabetes, hypertension and/or other cardiovascular diseases; 2. Complications with systemic lupus erythematosus and other autoimmune diseases; 3. Twin pregnancy; 4. Preterm delivery. |
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研究实施时间: Study execute time: |
从 From 2021-03-01 00:00:00至 To 2022-10-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2021-03-01 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: |
结束 /Completed |
年龄范围: Participant age: |
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性别: |
女性 |
Gender: |
Female |
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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): |
由项目医生用计算机生成的随机数列表创建了一个随机化程序。 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
A blocked randomization program was created by the doctor with a computer-generated list of random numbers. |
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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: |
参与者和医院的产科医生没有设盲。 |
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Blinding: |
The participants and obstetricians at the hospital were not blinded. |
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是否共享原始数据: IPD sharing |
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 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Clinical Trial Management Public Platform http://www.medresman.org.cn |
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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: |
根据所需录取的变量设计Epidata数据录入文件建立数据库,并设计Epidata质控文件。选择在本研究机构产科有临床经验的医师或者医学研究生录入数据。录入数据前,对所有录入员进行培训。对获得的资料进行核查,对缺失项重新调取病历补齐,对于有逻辑错误的病例重新调取病历核对纠正错误,对出现的极端数值重新调取病历进行核对,并随机抽取 10%病例进行数据核对。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Design the Epidata dataset and quality control file based on the necessary variables. The doctors and medical students trained at Beijing Obstetrics and Gynecology Hospital enter the data. For missing items, the doctors retrieve the medical records to supply the data. For data with logical errors, the doctors retrieve the medical records to correct them. For extreme values, the doctors retrieve the medical records for verification. 10% of the data will be randomly selected for verification. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |