Data Resource Profile: Melbourne Children's LifeCourse initiative (LifeCourse).
Data Resource Profile: Melbourne Children's LifeCourse initiative (LifeCourse).
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DOI：
10.1093/ije/dyac086
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发表时间：
2022-10-13
影响因子：
7.7
通讯作者：
Investigators, LifeCourse Cohort
中科院分区：
文献类型：
--
作者：
O'Connor, Meredith;Moreno-Betancur, Margarita;Goldfeld, Sharon;Wake, Melissa;Patton, George;Dwyer, Terence;Tang, Mimi L. K.;Saffery, Richard;Craig, Jeffrey M.;Loke, Jane;Burgner, David;Olsson, Craig A.;Investigators, LifeCourse Cohort
国际流行病学杂志，2022,e229-e244 https://doi。数据资源概况延长了开发周期，包括那些在独立随机试验中永远无法在道德上、成本效益上或时间上进行检查的暴露。最近的方法学进步促进了这一点，它提供了一个框架，通过明确模拟理想情况下进行的假设“目标试验”来分析因果关系。11,12此外，在跨群体系统工作方面仍有很大的潜力未被开发。例如，在调查罕见暴露和/或结果时，适当地协调和汇集来自多个队列的数据可以提高估计的精度。群组也可以聚集在一起，通过复制来增强对研究结果的信心，并解决跨越不同年龄阶段或结构的问题。15然而，在更充分地认识到跨队列方法的潜在收益方面存在一系列障碍。例如，跨研究描述和记录数据的不同方式可能会阻碍跨队列发现共同和互补的数据元素。限制性数据访问协议可能会限制分析来自多个队列的参与者级别数据的可行性。在孤岛中工作对实现队列测量和协议之间的一致性构成了障碍，这限制了数据一致性和池化的机会。即使有一致的数据，队列研究人员也可能缺乏跨团队联系和与方法专家发展必要技能和知识的机会。在北半球，已经出现了解决这些障碍的举措，将儿童和青少年队列研究纳入共同平台，将广泛的暴露和结果放在一起，使其既可以独立使用，也可以在跨队列设计中使用。一个例子是队列和纵向研究增强资源（CLOSER），它成立于2012年，现在汇集了英国19个主要的纵向队列（14个儿童和青少年）。欧盟儿童队列网络同样汇集了18个队列，以便对早期生活暴露和成人健康结果进行调查。17这些平台建立在围绕特定条件汇集研究的联盟所开发的重要基础之上，例如专注于儿童癌症的国际儿童癌症队列联盟（I4C） 5，这需要开发复杂的治理模型和方法方法来实现其目标。5
International Journal of Epidemiology, 2022, e229–e244 https://doi. org/10.1093/ije/dyac086 Advance Access Publication Date: 10 May 2022 Data Resource Profile extended periods of development, including those exposures that could never be ethically, cost-effectively or timeefficiently examined within stand-alone randomized trials. 11 This is facilitated by recent methodological advances, which provide a framework for analysing causal relationships through explicit emulation of the hypothetical ‘target trial’that would have ideally been conducted. 11, 12 In addition, there remains a largely untapped potential to work systematically across cohorts. For example, appropriate harmonization and pooling of data from multiple cohorts can improve precision of estimation when investigating rare exposures and/or outcomes. 13 Cohorts can also be brought together to enhance confidence in findings through replication 14 and to address questions spanning different age periods or constructs. 15 There are, however, a range of barriers to more fully realizing the potential gains of cross-cohort approaches. For example, discoverability of common and complementary data elements across cohorts can be hampered by different ways of describing and documenting data across studies. Restrictive data access protocols can limit the feasibility of analysing participant-level data from multiple cohorts. Working in siloes poses a barrier to achieving alignment between cohort measures and protocols, which limits opportunities for data alignment and pooling. Even where aligned data are available, cohort researchers can lack opportunities to connect across teams and with methods experts to develop necessary skills and knowledge. In the Northern Hemisphere, initiatives have emerged to tackle these barriers by bringing child and adolescent cohort studies that capture a wide range of exposures and outcomes together in common platforms, enabling their use both independently and within cross-cohort designs.An example is Cohort and Longitudinal Studies Enhancement Resources (CLOSER), 16 which was established in 2012 and now brings together 19 major longitudinal cohorts in the UK (14 child and adolescent). The EU Child Cohort Network similarly brings together 18 cohorts to allow investigations of early-life exposures and adult health outcomes. 17 These platforms build on the important groundwork developed by consortia drawing studies together around specific conditions, such as the International Childhood Cancer Cohort Consortium (I4C) focused on childhood cancer, 5 which have required the development of sophisticated governance models and methodological approaches to realize their objectives. 5
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影响因子：
7.7
作者：
Butters OW;Wilson RC;Burton PR
通讯作者：
Burton PR
影响因子：
7
作者：
Curran, Patrick J.;Hussong, Andrea M.
通讯作者：
Hussong, Andrea M.
影响因子：
2.9
作者：
Muggli E;Halliday J;Elliott EJ;Penington A;Thompson D;Spittle AJ;Forster D;Lewis S;Hearps S;Anderson PJ
通讯作者：
Anderson PJ
影响因子：
7.7
作者：
Goldfeld, Sharon;O'Connor, Meredith;Badland, Hannah
通讯作者：
Badland, Hannah
影响因子：
0.9
作者：
Olsson, Craig A.;Spry, Elizabeth;Patton, George C.
通讯作者：
Patton, George C.