Cross-cutting theme 1: Big Data and Computing innovation

交叉主题一：大数据与计算创新

• 批准号: MC_UU_00017/5
• 负责人: Martin Landray
• 金额: $ 278.16万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_UU_00017%2F5
• 关键词: Cross; cutting; theme; Big; Data

The emergence of new digital technologies is allowing huge quantities of information on health exposures and outcomes to be captured, stored, and analysed using advanced statistical techniques. ‘Big Data’ will provide new ways to conduct research and offers the potential of a dramatic increase in the scale and efficiency of clinical studies. This pioneering programme of work within PHRU aims to harness Big Data methodology to facilitate large-scale epidemiological studies and improve the efficiency of randomised trials by identifying barriers to their efficient conduct. This work is supported by a computing team that produces and maintains systems designed to meet the specific requirements of our new and on-going studies, and to ensure that they are sufficiently adaptable to provide a platform for future work. Our systems focus on aspects that are key to study quality: recruitment of large numbers of eligible participants; data collection and study conduct; study management, coordination and oversight; laboratory management including analysis and storage; ascertainment, confirmation and classification of outcome; and analysis, reporting and dissemination.

新的数字技术的出现使人们能够利用先进的统计技术捕捉、存储和分析关于健康暴露和结果的大量信息。“大数据”将为开展研究提供新的方法，并为临床研究的规模和效率的大幅提高提供潜力。PHRU的这一开创性工作计划旨在利用大数据方法促进大规模流行病学研究，并通过确定有效进行随机试验的障碍来提高随机试验的效率。这项工作由一个计算团队提供支持，该团队生产和维护系统，以满足我们新的和正在进行的研究的特定需求，并确保它们能够充分适应，为未来的工作提供一个平台。我们的系统侧重于研究质量的关键方面：招募大量符合条件的参与者；数据收集和研究行为；学习管理、协调和监督；实验室管理，包括分析和储存；结果的确定、确认和分类；以及分析、报道和传播。

项目成果

Genetic associations of adult height with risk of cardioembolic and other subtypes of ischemic stroke: A mendelian randomization study in multiple ancestries.

• DOI: 10.1371/journal.pmed.1003967
• 发表时间: 2022-04
• 期刊: PLoS medicine
• 影响因子: 15.8

Effect of low-dose aspirin on urinary 11-dehydro-thromboxane B2 in the ASCEND (A Study of Cardiovascular Events iN Diabetes) randomized controlled trial.

• DOI: 10.1186/s13063-023-07198-z
• 发表时间: 2023-03-04
• 期刊: Trials
• 影响因子: 2.5

Accelerometer-measured physical activity and functional behaviours among people on dialysis.

• DOI: 10.1093/ckj/sfaa045
• 发表时间: 2021-03
• 期刊: Clinical kidney journal
• 影响因子: 4.6
• 作者: Nawab KA;Storey BC;Staplin N;Walmsley R;Haynes R;Sutherland S;Crosbie S;Pugh CW;Harper CHS;Landray MJ;Doherty A;Herrington WG
• 通讯作者: Herrington WG

A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions.

• DOI: 10.1093/gerona/glab069
• 发表时间: 2021-06-14
• 期刊: The journals of gerontology. Series A, Biological sciences and medical sciences
• 作者: Chan MS;Arnold M;Offer A;Hammami I;Mafham M;Armitage J;Perera R;Parish S
• 通讯作者: Parish S

Ascend-Eye: Rationale, Design and Baseline Characteristics for a Sub-Study of the Ascend Randomised Trial, Exploring the Effects of Aspirin and Omega-3 Fatty Acids on Diabetic Retinopathy and Age-Related Macular Degeneration

Ascend-Eye：Ascend 随机试验子研究的基本原理、设计和基线特征，探索阿司匹林和 Omega-3 脂肪酸对糖尿病视网膜病变和年龄相关性黄斑变性的影响

• DOI: 10.2139/ssrn.4408344
• 发表时间: 2023
• 作者: Sammons E