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Consortium on Translational Research in Early Detection of Liver Cancer: Data Management and Coordinating Center (DMCC)

Consortium on Translational Research in Early Detection of Liver Cancer: Data Management and Coordinating Center (DMCC)
肝癌早期检测转化研究联盟:数据管理和协调中心 (DMCC)
批准号:
10006517
负责人:
Ziding Feng
金额:
$55.37万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-17 至 2023-08-31

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Project Summary The key for the success of the Consortium on Translational Research in Early Detection of Liver Cancer (Consortium) lies in good communication among scientists in multiple disciplines; efficient evaluation and prioritization of promising biomarkers; and rigorous validation studies to demonstrate their clinical utilities in improving the surveillance and early detection of liver cancer and stratifying the risk of liver cancer in patients with cirrhosis. The overall aims of the proposed Data Management and Coordinating Center (DMCC) are to (i) enhance communication and collaboration among Consortium investigators; (ii) coordinate Consortium collaborative research and provide statistical support; (iii) develop and maintain an integrated research database and biorepository database for Consortium studies; and (iv) help the Consortium develop and implement strategies for biomarker translational paths. Under the direction of the Consortium Steering Committee, the DMCC will 1) perform network coordination and promote collaborations among scientific investigators by providing support for Consortium meetings, developing and maintaining Consortium secure websites and listservs, and producing and maintaining all Consortium documents; 2) support Consortium collaborative studies by working with Consortium investigators on study design, protocol development, data forms, and study manuals; coordinating and monitoring studies; tracking specimen sharing, blinding, and randomization; and performing QA/QC and study evaluation; 3) develop and maintain a Consortium integrated information management system that provides online, end-to- end data management solutions, including study communications, regulatory compliance, remote patient registration, clinical data capture, biospecimen sample management, imaging data repository, document management, and informatic tools; and 4) use the phased biomarker development guidelines and PRoBE study design standards to help the Consortium develop a roadmap and strategies and ensure rigor and efficiency of the Consortium collaborative phase-2 and phase-3 studies using existing and newly collected specimens from heterogeneous cohorts.
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Biostatistics Core
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  • 项目类别:
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  • 负责人:
    Ziding Feng
  • 依托单位:
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  • 批准号:
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  • 项目类别:
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  • 依托单位:
海外基金