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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: |
ChiCTR2600127081 |
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最近更新日期: Date of Last Refreshed on: |
2026-06-24 11:25:19 |
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注册时间: Date of Registration: |
2026-06-24 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: |
基于微生物组学的结直肠腺瘤关键标志物发现及人工智能风险预警模型构建 |
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Public title: |
Discovery of Key Biomarkers for Colorectal Adenoma Based on Microbiomics and Construction of an Artificial Intelligence Risk Warning Model |
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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: |
基于微生物组学的结直肠腺瘤关键标志物发现及人工智能风险预警模型构建 |
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Scientific title: |
Discovery of Key Biomarkers for Colorectal Adenoma Based on Microbiomics and Construction of an Artificial Intelligence Risk Warning Model |
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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: |
周玉平 |
研究负责人: |
周玉平 |
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Applicant: |
Yuping Zhou |
Study leader: |
Yuping Zhou |
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申请注册联系人电话: Applicant telephone: |
+86 15258127313 |
研究负责人电话:
Study leader's |
+86 15258127313 |
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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: |
nbuzhouyuping@126.com |
研究负责人电子邮件: Study leader's E-mail: |
nbuzhouyuping@126.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: |
浙江省宁波市海曙区柳汀街59号 |
研究负责人通讯地址: |
浙江省宁波市海曙区柳汀街59号 |
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Applicant address: |
59 Liuting street, Haishu District, Ningbo, Zhejiang,China |
Study leader's address: |
59 Liuting street, Haishu District, Ningbo, Zhejiang,China |
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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: |
宁波大学附属第一医院 |
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Applicant's institution: |
The First Affiliated Hospital of Ningbo University |
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研究负责人所在单位: |
宁波大学附属第一医院 |
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Affiliation of the Leader: |
Ningbo First Hospital |
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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: |
宁波大学附属第一医院伦审2026研第102号 |
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: |
宁波大学附属第一医院医学伦理委员会 |
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Name of the ethic committee: |
First Affiliated Hospital of Ningbo University Clinical Trial Ethics Committee for Drugs and Medical Devices |
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伦理委员会批准日期: Date of approved by ethic committee: |
2026-03-25 00:00:00 | ||
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伦理委员会联系人: |
陈少莹 |
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Contact Name of the ethic committee: |
Chen Shaoying |
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伦理委员会联系地址: |
浙江省宁波市海曙区柳汀街59号 |
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Contact Address of the ethic committee: |
59 Liuting street, Haishu District, Ningbo, Zhejiang,China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 574 87085233 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
sychenjy@163.com |
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研究实施负责(组长)单位: |
宁波大学附属第一医院 |
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Primary sponsor: |
Ningbo First Hospital |
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研究实施负责(组长)单位地址: |
浙江省宁波市海曙区柳汀街59号 |
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Primary sponsor's address: |
59 Liuting street, Haishu District, Ningbo, Zhejiang,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: |
宁波市“科创甬江2035” 重点研发计划 |
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Source(s) of funding: |
Ningbo City "Science and Technology Innovation Yongjiang 2035" Key Research and Development Program |
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研究疾病: |
结直肠癌 |
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Target disease: |
Colorectal cancer |
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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: |
其它 | ||||||||||||||||||||||
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Study phase: |
N/A |
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研究设计: |
病例对照研究 |
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Study design: |
Case-Control study |
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研究目的: |
基于微生物多组学标志物结合人工智能的算法,构建能够预警结直肠腺瘤恶性潜能的分类模型(具备诊断进展期腺瘤能力),最终提高CRC早筛早诊能力。 |
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Objectives of Study: |
Based on microbial multi-omics biomarkers combined with artificial intelligence algorithms, a classification model is constructed to predict the malignant potential of colorectal adenomas (with the ability to diagnose advanced adenomas), ultimately improving the early screening and diagnosis capabilities of CRC. |
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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.综合国家卫生健康委发布的《结直肠癌筛查与早诊早治方案(2024年版)》、中国临床肿瘤学会(CSCO)发布的《结直肠癌诊疗指南(2024)》、中华医学会肿瘤学分会早诊早治学组发布的《中国结直肠癌早诊早治专家共识(2023版)》等指南,制定纳入标准,根据结肠镜检查和病理报告结果,选择相应组别的入组对象。 |
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Inclusion criteria |
1.Based on guidelines such as the "Colorectal Cancer Screening and Early Diagnosis and Treatment Plan (2024 Edition)" issued by the National Health Commission, the "Colorectal Cancer Diagnosis and Treatment Guidelines (2024)" issued by the Chinese Society of Clinical Oncology (CSCO), and the "Chinese Expert Consensus on Early Diagnosis and Treatment of Colorectal Cancer (2023 Edition)" issued by the Early Diagnosis and Treatment Group of the Oncology Branch of the Chinese Medical Association, inclusion criteria were established. Participants were selected for the corresponding groups based on the results of colonoscopy and pathological reports. |
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排除标准: |
1.肛管肿瘤、阑尾肿瘤、神经内分泌肿瘤、家族性腺瘤性息肉病。 |
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Exclusion criteria: |
1.Anal canal tumor, appendiceal tumor, neuroendocrine tumor, familial adenomatous polyposis; 2.Cases requiring additional surgery due to perforation or bleeding complications from endoscopic treatment; 3.Patients who have used antibiotics, glucocorticoids, or immunosuppressants within one month of sampling. |
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研究实施时间: Study execute time: |
从 From 2026-07-01 00:00:00至 To 2028-05-01 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2026-07-01 00:00:00 至 To 2028-05-01 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): |
None |
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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 |
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): |
文章发表后6个月内,经研究者同意后可邮箱申请获取方式; |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Within 6 months after the publication of the article, the researchers can apply for access by email with the consent of the researchers; |
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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: |
数据采集使用CRF表格,管理使用excel等数据分析程序。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Data collection is performed using Case Report Forms (CRFs), while management and analysis are conducted using Excel or other data processing software. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
无/No |