Statistical methods to support a model pediatric traumatic brain injury data bank

支持儿科创伤性脑损伤模型数据库的统计方法

• 批准号: 8931790
• 负责人: Eloise E Kaizar
• 金额: $ 7.25万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-26 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8931790
• 关键词: 12 year old; 6 year old; Achievement; Address; Adolescent; Affect; Age; American; Area; Behavioral; Behavioral Symptoms; Big Data; Case Study; Cataloging; Catalogs; Cause of Death; Child; Childhood; Collection; Craniocerebral Trauma; Data; Data Collection; Data Set; Databases; Development; Disease; Emergency department visit; Emotional; Enrollment; Ensure; Family; Future; Goals; Health; Individual; Injury; Intervention; Joints; Knowledge; Lead; Learning; Long-Term Effects; Longitudinal Studies; Measures; Medical; Medical center; Meta-Analysis; Methods; Mission; Modeling; National Institute of Child Health and Human Development; Observational Study; Ohio; Outcome; Outcome Measure; Patients; Pediatric Hospitals; Personal Satisfaction; Population; Productivity; Public Health; Randomized; Recruitment Activity; Rehabilitation therapy; Reporting; Research; Research Personnel; Sampling; School-Age Population; Statistical Methods; Symptoms; Time; Traumatic Brain Injury; Traumatic Brain Injury recovery; United States National Institutes of Health; Variant; Work; Youth; age effect; base; cohort; data modeling; data sharing; demographics; design; disability; early childhood; evidence base; follow-up; improved; novel; outcome forecast; patient oriented; pediatric traumatic brain injury; psychologic; psychosocial; public health relevance; social; sound; tool

DESCRIPTION (provided by applicant): While annually over 1/2 million American children visit the emergency room with a head injury, many aspects of pediatric traumatic brain injury (TBI) are still not well understood. Researchers have been making great strides toward a better understanding of TBI to help fulfill the mission of the NICHD to ensure "...that all children have the chance to achieve their full potential for healthy and productive lives, free from disease or disability, and to ensure the health, productivity, independence, and well-being of all people through optimal rehabilitation." For pediatric TBI, this research is particularly challenging and costly to conduct. Thus, most studies are small with limited information about differences across populations. Only analyzing several studies together would permit the discovery of symptom differences across broad spectra of injuries and demographics. There has already been some development of statistical methods for jointly analyzing small collections of longitudinal data. This work has established a general framework for approaching this problem, but has not filled in the details of how to deal with real-world data complications. The broad goal of this proposal is to establish the feasibility and benefit of jointly analyzing similar studies of pediatric TBI through a case study of the variation in TBI recovery across age at injury. The specific aims of the project are to: 1. Use currently available meta-analytic methods to study the effect of age at injury on short- and long- term symptoms of TBI using two completed observational study datasets, while simultaneously precisely identifying current methodological limitations. 2. Develop new statistical methods based on established meta-analytic and missing data approaches to jointly analyze pediatric TBI datasets from observational studies. 3. Identify next steps for creating the Ohio Pediatric TBI Data Bank. The OPT Data Bank would be a data warehouse for studies of pediatric TBI originating at one of the three major Ohio children's hospitals. It would facilitate improved studies of pediatric TBI via the joint analysis of a larger data set, and would serve as a model for data sharing in a wide range of similar fields. The achievement of these aims will pave the way for improved understanding of the effects of TBI in the pediatric population. In turn, this will lead to improved treatment of these children and adolescents. Second, the newly developed statistical methods will be applicable to a broad range of similar medical areas, thus significantly improving the evidence base for making sound patient-centered decisions.

描述（由申请人提供）：虽然每年有超过1/20万美国儿童头部受伤访问急诊室，但小儿创伤性脑损伤（TBI）的许多方面仍未得到充分了解。研究人员一直在更好地理解TBI，以帮助实现NICHD的使命，以确保“……所有儿童都有机会获得健康和生产力的全部潜力，免于疾病或残疾，并确保通过最佳康复来确保所有人的健康，生产力，独立性和福祉”。对于小儿TBI而言，这项研究特别具有挑战性，进行成本高昂。因此，大多数研究很小，有关人群差异的信息有限。仅分析几项研究才能发现在广泛的伤害和人口统计学方面发现症状差异。统计方法已经开发了一些共同分析纵向数据的少量收集的方法。这项工作已经建立了解决此问题的一般框架，但尚未填补如何处理现实世界数据并发症的细节。该提案的广泛目的是通过案例研究对跨受伤年龄段的TBI恢复的变异进行共同分析小儿TBI的类似研究的可行性和好处。该项目的具体目的是：1。使用当前可用的荟萃分析方法研究年龄的影响 使用两个完整的观察性研究数据集对TBI的短期和长期症状受伤，同时精确地识别了当前的方法论局限性。 2。基于既定的荟萃分析和缺失的数据方法开发新的统计方法，以共同分析观察性研究的小儿TBI数据集。 3。确定创建俄亥俄州小儿TBI数据库的下一步。 OPT数据库将是用于研究小儿TBI的数据仓库，该研究源自三个主要的俄亥俄州儿童医院之一。通过较大的联合分析，它将促进改善小儿TBI的研究 数据集，并将作为在广泛类似字段中的数据共享的模型。这些目标的实现将为改善对TBI对小儿人群的影响的理解铺平道路。反过来，这将导致改善对这些儿童和青少年的治疗。其次，新开发的统计方法将适用于广泛的类似医疗领域，从而显着改善了以患者为中心的决定的证据基础。

项目成果

A comparison of existing methods for multiple imputation in individual participant data meta-analysis.

• DOI: 10.1002/sim.7388
• 发表时间: 2017-09-30
• 期刊: Statistics in medicine
• 影响因子: 2
• 作者: Kunkel D;Kaizar EE
• 通讯作者: Kaizar EE