MAPP research network

MAPP研究网络

• 批准号: 7929001
• 负责人: J Richard Landis
• 金额: $ 135.42万
• 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/7929001
• 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的临床流行病学与生物统计学中心（CCEB）的申请，以作为慢性骨盆疼痛（MMAPP）研究网络研究的多学科方法作为数据协调核心（DCC）。 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在过去的10 - 15年中，在一系列由NIDDK资助的泌尿外科协作研究网络中共同努力的医学；特别是，间质性膀胱炎数据库（ICDB）研究（1993-1998），CPCRN（1997-2003）和ICCTG（1998-2004）的DCC。 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，并与组织分析与技术核心（TATC）实验室紧密合作。 DCC的具体目的是1）通过在MAPP研究网络的研究和实施研究项目中提供科学领导来促进多学科基础和翻译研究的行为； 2）提供研究设计，结果指标和分析策略的生物统计学专业知识，用于骨盆疼痛综合征的翻译和临床研究； 3）促进范围内的网络质量保证标准，实践和工具，包括全面，安全的基于WWW的数据管理系统（DMS），用于收集和集中存储所有研究数据； 4）与组织分析和技术核心（TATC）实验室合作，用于数据收集，标本跟踪和存储的最佳实践，并支持DCC和TATC之间的技术过程； 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，文档管理和分发研究程序； 6）支持MAPP研究网络辅助项目，协助其设计，并实施提交，审查和开发辅助研究的过程。 DCC将利用其大量的CTSA信息学专业知识和资源来促进数据集成方法的最佳实践，并利用MAPP研究网络中临床和转化科学研究项目的工具。 慢性骨盆疼痛研究（MAPP）研究网络的多学科方法将研究各种因素，这些因素可能导致泌尿科骨盆疼痛以及相关的疼痛综合症。目的是发现将导致未来预防和治疗策略发展的信息。该研究方法涉及许多不同类型的科学方法，并可能为各种临床综合症添加新信息。