MAPP research network

MAPP研究网络

• 批准号: 8145035
• 负责人: J Richard Landis
• 金额: $ 6.5万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2013-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8145035
• 关键词: Ancillary Study; Behavioral; Behavioral Genetics; Biometry; Chronic Fatigue Syndrome; Chronic Prostatitis; Clinical; Clinical Research; Clinical Trials; Collection; Communication; Data; Data Collection; Database Management Systems; Databases; Development; Fibromyalgia; Functional disorder; Funding; Future; Goals; Human Resources; Informatics; Interstitial Cystitis; Irritable Bowel Syndrome; Laboratories; Lead; Leadership; Link; Medical center; Medicine; Methods; Migraine; National Institute of Diabetes and Digestive and Kidney Diseases; Natural History; Outcome Measure; Pain; Pathology; Patients; Pelvic Pain; Pennsylvania; Prevention; Process; Protocols documentation; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resources; Risk Factors; Scientist; Secure; Series; Services; Site; Specimen; Syndrome; System; Technology; Tissues; Translational Research; Universities; Vulvodynia; Work; chronic pain; chronic pelvic pain; clinical epidemiology; cohort; data integration; data management; design; disease phenotype; experience; implementation research; medical schools; meetings; programs; quality assurance; tool; treatment strategy; urologic; working group

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.

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学中心 (CCEB) 的一份申请，旨在作为慢性病研究多学科方法的数据协调核心 (DCC)盆腔疼痛 (MAPP) 研究网络。该提案汇集了经验丰富的 DCC 人员团队，目前支持泌尿盆腔疼痛协作研究网络 (UPPCRN) (http://www.cceb.med.upenn.edu/uppcrn) (2003-2008)，以及共同研究人员在慢性盆腔疼痛、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的专业知识，他们在过去 10-15 年的时间里一起工作NIDDK 资助的一系列富有成效的泌尿外科合作研究网络；特别是 DCC 间质性膀胱炎数据库 (ICDB) 研究 (1993-1998)、CPRN (1997-2003) 和 ICCTG (1998-2004)。 DCC 将为每项多站点研究以及选定的发现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，并与组织分析和技术核心 (TATC) 实验室密切合作。 DCC 的具体目标是 1) 通过在 MAPP 研究网络的研究项目的设计和实施中提供科学领导，促进多学科基础和转化研究的开展； 2) 为盆腔疼痛综合征的转化和临床研究提供研究设计、结果测量和分析策略方面的生物统计学专业知识； 3）推广全网络质量保证标准、实践和工具，包括用于收集和集中存储所有研究数据的全面、安全的基于www的数据管理系统（DMS）； 4) 与组织分析和技术核心（TATC）实验室合作，研究数据收集、样本跟踪和存储的最佳实践，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行政DCC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论文集； 6) 支持 MAPP 研究网络辅助项目，协助其设计，以及实施辅助研究的提交、审查和开发流程。 DCC 将利用其丰富的 CTSA 信息学专业知识和资源来推广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转化科学研究项目。 慢性盆腔疼痛的多学科研究方法 (MAPP) 研究网络由不同的临床医生和科学家组成，将调查可能导致泌尿系统盆腔疼痛和相关疼痛综合征的多种因素。目的是发现有助于制定未来预防和治疗策略的信息。这种研究方法涉及多种不同的科学方法，可能为多种临床综合征添加新的信息。