MAPP research network

描述(由申请人提供)：这是宾夕法尼亚大学医学中心临床流行病学和生物统计中心(CCEB)的一份申请，作为慢性盆腔疼痛(MAPP)研究网络多学科方法的数据协调核心(DCC)。这项提议汇集了一支经验丰富的DCC人员团队，目前支持泌尿外科盆腔疼痛合作研究网络(http://www.cceb.med.upenn.edu/uppcrn))(2003年至2008年)，以及在慢性盆腔疼痛、慢性前列腺炎、间质性膀胱炎以及实验室和病理医学方面拥有广泛专业知识的联合调查人员，他们在过去10-15年里在NIDDK资助的一系列富有成效的泌尿合作研究网络内共同工作；特别是，间质性膀胱炎数据库研究的数据中心(1993-1998年)、CPCRN(1997-2003年)和ICCTG(1998-2004年)。DCC将与组织分析与技术核心(TATC)实验室密切合作，为每个多站点研究以及选定的Discovery站点项目提供生物统计研究设计/分析支持以及全面的数据管理和研究计算服务。DCC的具体目标是：1)通过在整个MAPP研究网络的研究项目的设计和实施方面提供科学领导，促进开展多学科基础和翻译研究；2)为盆腔疼痛综合征的翻译和临床调查提供研究设计、结果衡量和分析战略方面的生物统计学专门知识；3)促进全网络的质量保证标准、做法和工具，包括用于收集和集中存储所有研究数据的全面、安全的万维网数据管理系统；4)与组织分析和技术核心(TATC)实验室就数据收集、标本跟踪和储存的最佳做法进行协作，并支持DCC和TATC之间的技术流程；5)为MAPP研究网络提供全面的DCC行政支持，促进有效的沟通，协调会议、工作组、文件管理和分发研究记录；6)支持MAPP研究网络辅助项目，协助其设计，并实施提交、审查和制定辅助研究的程序。DCC将利用他们丰富的CTSA信息学专业知识和资源，促进数据集成方法和工具的最佳实践，以支持MAPP研究网络内的临床和翻译科学研究项目。 由不同的临床医生和科学家组成的多学科方法研究慢性盆腔疼痛(MAPP)研究网络将调查可能导致泌尿系盆腔疼痛和相关疼痛综合征的各种因素。其目的是发现有助于制定未来预防和治疗战略的信息。这种研究方法涉及许多不同类型的科学方法，并可能为各种临床症状增加新的信息。

DESCRIPTION (provided by applicant): This is an application from the Center for Clinical Epidemiology and Biostatistics (CCEB) at the University of Pennsylvania Medical Center to serve as the Data Coordination Core (DCC) for the Multi-disciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network. This proposal brings together a highly experienced team of DCC personnel, currently supporting the Urological Pelvic Pain Collaborative Research Network (UPPCRN) (http://www.cceb.med.upenn.edu/uppcrn) (2003-2008), as well as co-investigators with extensive expertise in chronic pelvic pain, chronic prostatitis, interstitial cystitis and laboratory and pathology medicine, who have worked together over the past 10-15 years within a productive series of NIDDK-funded urological collaborative research networks; in particular, the DCC for the Interstitial Cystitis Data Base (ICDB) Study (1993-1998), the CPCRN (1997-2003) and the ICCTG (1998-2004). The DCC will provide biostatistical study design/analysis support and comprehensive data management and research computing services for each multi-site study, as well as selected Discovery Site projects, collaborating closely with the Tissue Analysis & Technology Core (TATC) Laboratory. The specific aims of the DCC are to 1) facilitate conduct of multi-disciplinary basic and translational research, by providing scientific leadership in the design and implementation of research projects across the MAPP Research Network; 2) provide biostatistical expertise in research design, outcome measures and analytic strategies for translational and clinical investigations of pelvic pain syndromes; 3) promote network-wide quality assurance standards, practices and tools, including a comprehensive, secure www-based data management system (DMS) for collection and centralized storage of all study data; 4) collaborate with the Tissue Analysis and Technology Core (TATC) Laboratory on best practices for data collection, specimen tracking and storage, as well as support technical processes between the DCC and TATC; 5) provide comprehensive administrative DCC support for the MAPP Research Network, promoting effective communications, coordinating meetings, working groups, document management and distribute study proceedings; 6) support MAPP Research Network Ancillary Projects, assisting in their design, as well as implementing a process for the submission, review and development of ancillary studies. The DCC will leverage their considerable CTSA informatics expertise and resources to promote best practices for data integration methods, and tools in support of the clinical and translational science research projects within the MAPP Research Network. The Multi-disciplinary Approach to the Study of Chronic Pelvic Pain (MAPP) Research Network of diverse clinicians and scientists will investigate a wide variety of factors that may cause urologic pelvic pain and and related pain syndromes. The objective is to discover information that will lead to the development of future prevention and treatment strategies. This research method involves many different kinds of scientific approaches and may add new information to a variety of clinical syndromes.