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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: |
ChiCTR2300075034 |
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最近更新日期: Date of Last Refreshed on: |
2023-08-23 15:24:11 |
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注册时间: Date of Registration: |
2023-08-23 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AIMS的疼痛管理程序改善胸科术后疼痛体验的临床效果分析 |
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Public title: |
Based on the AIMS (Anesthesia information management system) of pain management program to improve the clinical effect of post-surgical pain after thoracic surgery |
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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AIMS的疼痛管理程序改善胸科术后疼痛体验的临床效果分析 |
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Scientific title: |
Based on the AIMS (Anesthesia information management system) of pain management program to improve the clinical effect of post-surgical pain after thoracic surgery |
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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: |
郭志敏 |
研究负责人: |
钟斐 |
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Applicant: |
zhimin Guo |
Study leader: |
Zhong fei |
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申请注册联系人电话: Applicant telephone: |
+86 135 3545 8635 |
研究负责人电话:
Study leader's |
+86 159 2018 6680 |
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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: |
MiaGuo13@163.com |
研究负责人电子邮件: Study leader's E-mail: |
zhongfei@gdph.org.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: |
广东省广州市越秀区中山二路106号 |
研究负责人通讯地址: |
广东省广州市越秀区中山二路106号 |
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Applicant address: |
106 Zhongshan Second Road, Yuexiu District, Guangzhou, Guangdong |
Study leader's address: |
106 Zhongshan Second Road, Yuexiu District, Guangzhou, Guangdong |
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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: |
广东省人民医院 |
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Applicant's institution: |
Guangdong Provincial People's Hospital |
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研究负责人所在单位: |
广东省人民医院,国际健康研究中心 |
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Affiliation of the Leader: |
Global health Research Center, Guangdong Provincial People's 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: |
KY-H-2022-008-01; KY-H-2022-008-02 |
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: |
广东省人民医院伦理审查委员会 |
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Name of the ethic committee: |
Ethics Review Committee of Guangdong Provincial People's Hospital |
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伦理委员会批准日期: Date of approved by ethic committee: |
2022-02-24 00:00:00 | ||
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伦理委员会联系人: |
邓景 |
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Contact Name of the ethic committee: |
Jing Deng |
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伦理委员会联系地址: |
广东省广州市越秀区中山二路106号 |
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Contact Address of the ethic committee: |
106 Zhongshan Second Road, Yuexiu District, Guangzhou, Guangdong |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 20 8352 6173 |
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: |
广东省人民医院 |
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Primary sponsor: |
Guangdong Provincial People's Hospital |
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研究实施负责(组长)单位地址: |
广东省广州市越秀区中山二路106号 |
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Primary sponsor's address: |
106 Zhongshan Second Road, Yuexiu District, Guangzhou, Guangdong |
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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: |
国家卫生健康委科学技术研究所 |
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Source(s) of funding: |
National Institute of Health and ScienceTechnology Commission |
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研究疾病: |
肺癌 |
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Target disease: |
lung 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: |
连续入组 |
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Study design: |
Sequential |
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研究目的: |
本研究归纳总结慢性术后疼痛的风险因素(术前、术中,术后风险),利用机器学习人工智能的技术纳入以上风险因素,全面包括患者的基本特征、麻醉及手术因素等,来构建肺癌手术慢性术后疼痛的预测模型,并对此模型的预测能力进行验证,旨在为临床麻醉实践中对高风险患者进行干预治疗提供依据,最终使更多的患者获益。目前国内外尚没有关于使用机器学习的方法来构建经电视辅助胸腔镜肺癌手术慢性术后疼痛风险预测模型的相关研究。 |
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Objectives of Study: |
This study summarized the risk factors of chronic postoperative pain (preoperative, intra-operative, postoperative), and apply the machine learning algorithm to build a prediction model of chronic postoperative pain after video-assisted thoracoscopic surgery, and then verified the predictive ability of this model. The aim is to provide a basis for intervention and treatment of high-risk patients in clinical anesthesia practice, ultimately benefiting more patients. At present, there is no relevant research on using machine learning methods to construct a chronic postoperative pain risk prediction model for television assisted thoracoscopic lung cancer surgery at home and abroad. |
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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:年龄满 18 周岁 2:广东省人民医院胸、肺外科行VATS 下行肺叶楔形或节段切除术的患者。 |
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Inclusion criteria |
1:Patients over 18 years old. 2:Patients undergoing VATS pulmonary wedge or segmental lobectomy in the Department of Thoracic and Pulmonary Surgery at Guangdong Provincial People's Hospital. |
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排除标准: |
1:非肺叶实质手术,如食管癌、纵隔肿瘤、肺大疱、漏斗胸、手汗症等; 2:周围及中枢病变患者:认知功能障碍、帕金森、阿尔茨海默病、中风或无法配合者 3:病情危重术后 ICU 监护患者 4:肿瘤复发,慢性感染、再次手术、死亡患者 |
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Exclusion criteria: |
1: Non lobar parenchymal surgery, such as esophageal cancer, mediastinal tumors, pulmonary bullae, pectus excavatum, palmar hyperhidrosis, etc; 2: Patients with peripheral and central diseases: cognitive dysfunction, Parkinson's disease, Alzheimer's disease, stroke or unable to cooperate 3: ICU patients in critical condition after surgery 4: Patients with recurrence of tumor, chronic infection, reo-peration and death |
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研究实施时间: Study execute time: |
从 From 2022-04-06 00:00:00至 To 2023-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2022-05-06 00:00:00 至 To 2023-12-01 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: |
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): |
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: |
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Blinding: |
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是否共享原始数据: IPD sharing |
否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): |
网络平台,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): |
Network platform, 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: |
电子采集 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Electronic collection |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |