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本研究课题的目标是鼓励使用各种大数据方法研究口腔健康与全身性疾病之间的关联,全身性疾病包括心血管疾病、糖尿病、肥胖症、关节炎、肺炎和老年痴呆症等等。我们欢迎新采集的数据,或者使用现有数据集进行分析,或者使用基因遗传数据、图像数据,或使新兴大数据研究方法,包括人工智能、机器学习、深度学习,或在牙科研究领域应用的统计模拟计算
该研究领域的重要性
口腔疾病与全身性疾病之间的关联是牙科研究的热点研究领域,已有大量文献表明牙周炎与心血管疾病、糖尿病、类风湿性关节炎、肥胖症、肺炎、老年痴呆、肾病、心理疾病等全身性疾病之间可能存在因果关系。虽然我们的终极目标是基于口腔及其他疾病关联的生物学原理研发治疗药物,但利用现有大数据和电子健康记录来研究口腔健康和全身性疾病的因果关联,也可以为临床干预及高风险人群的靶向治疗提供有价值的证据。目前,大数据方法已被广泛运用于精准医疗和各个临床学科;然而,由于牙科数据的特殊性,大数据方法尚未在牙科和口腔健康研究中得到广泛应用。许多具备电子健康记录和前瞻性队列的国家健康数据库近来已开始收集有关牙科检查、治疗和自我报告口腔健康的数据。这些数据库的建立,使我们能够研究口腔健康与全身健康及并发症之间的关联或因果关系,甚至可以在纵向研究中的探查疾病发展轨迹。一些研究收集了遗传和影像数据,这使得应用各种大数据方法从不同角度理解口腔疾病与全身性疾病之间关联成为可能。
该研究领域的前沿趋势
鉴于电子卫生数据的的发展,许多国家医学数据库可以链接人们的疾病史跟口腔病例,因此该领域具有巨大潜力。口腔健康相关大数据研究仍然处于初级阶段,本研究话题『采用大数据方法探索口腔健康与全身性疾病的关联』将利用现有电子记录或人口调查的前沿研究,为了解我们的口腔健康状况与全身性疾病的相关性提供进一步的证据。
征稿信息
本专刊的研究内容包括但不限于:
设计新的临床试验:
评估牙科治疗对其他疾病进展的疗效,包括对全身性疾病进展的治疗效果的数学模拟;
基于人群的研究:调查口腔疾病与任何全身性疾病之间的联系;
数据分析新进展:采用大样本量、大数据、图像数据、基因遗传数据或其他大数据方法,推断口腔与全身性疾病之间的因果关系或关联;
数据驱动工具、协议或指南研发:用于识别特定高危人群;
预测模型:采用现有数据预测疾病进展或轨迹识别高危人群并推荐个性化的预防或治疗策略。
文章类型包括:原创研究(或论著)、系统评价、方法、研究方案、技术报告、假设与理论、临床试验、数据报告。
本专刊文稿应具有科学性、创新性,通过完全公开、公正、严格的同行评审后在线发表。文章一经上线,即可被引用。
此前沿专刊发布在:
Frontiers in Big Data 新晋期刊
Frontiers in Artificial Intelligence 新晋期刊
此专刊仍 接收投稿 ,截稿时间:
Abstract - 2021 年 01 月 15 日
Manuscript - 2022 年 04 月 30 日
专刊详细信息及投稿方式,点击『阅读原文』或复制链接在浏览器打开:https://ddl.ink/6RSd
客座主编团队
Jing Kang,Lecturer / Senior Lecturer,University of Leeds,Leeds, United Kingdom
Dr Jing Kang (JK)’s research interest include public health, epidemiology, statistical modelling, and applying analytical skills in ‘big data’. JK has many publications exploring the relation between oral health and systemic diseases in general population and specific at-risk populations. JK is a regular speaker at national and international conferences and is a reviewer for several peer reviewed journals and research grants. JK has successful experience of securing research funding, including EU Framework grant (ADVOCATE), charity grants (Alzheimer’s Society, British Society for antimicrobial chemotherapy, Leeds Teaching Hospital Charitable grant), and industry grant (Colgate-Palmolive Company). Fang Hua,Executive Deputy Director,Centre for Evidence-Based Stomatology,School of Stomatology, Wuhan University,Wuhan, China 武汉大学口腔医院正畸一科副主任医师、硕士生导师。兼任武汉大学口腔医院循证口腔医学中心常务副主任及临床研究中心办公室副主任、英国曼彻斯特大学牙医学院名誉研究员、Cochrane 协作网口腔健康组 Editor、Journal of Evidence-Based Dental Practice 编委、IADR 循证牙医学专委会 Councillor、中华口腔医学会正畸专委会青年委员、湖北省睡眠研究会青年委员。入选湖北省海外高层次人才引进计划。发表第一/通讯作者 SCI 论文 50 余篇,参编国内外教材 3 部,主持国家自然科学基金 1 项。 Mark Ide,Professor,King's College London,London, United Kingdom Prof Mark Ide’s research work has been a mixture of basic sciences, clinical and translational investigating dentine sensitivity treatment and assessment, periodontal- systemic links and inflammation including pregnancy outcome, monitoring and assessment of periodontal tissues in health and disease. Currently focusing on biomarkers for periodontal and other diseases, periodontal-systemic links, inflammation, epidemiology, disease measurement and associations with microbiome, as well as tissues imaging and the use of technology for education and for improving the physical performance of clinicians. Jianhua Wu,Associate Professor,University of Leeds,Leeds, United Kingdom Dr Jianhua Wu’s main research interests are statistical application in applied oral and medical health research (particularly cardiovascular disease); data mining, machine learning analysis and methodological development for electronic health record data; understanding the relationship between oral health and systemic disease; data linkage for research-ready database, new design and analysis for clinical trials ; Trigeminal Neuralgia, GWAS study in oral health. He was recently awarded a BHF-Alan Turing Data Science Award to conduct a big data project using Hospital Episode Statistic. Francesco D'Aiuto,Professor,University College London,London, United Kingdom Francesco qualified with DMD honour’s degree from the University of Naples in 1997. He attended a number of post-graduate training courses in periodontology in Italy and Sweden completing his specialty program (MClinDent) at UCL, London in 2008. His research career started with a Clinical research fellowship from the Italian Society of Periodontology (2000) followed by a PhD in clinical periodontology. He received a number of awards including the AAP clinical Research Award (2005), Antony Rizzo Young Investigator Award in (2009), Innovators in Diabetes Award from the UK Charity Diabetes UK (2012) and a Clinical Senior Lectureship from the Department of Health in UK (2010). He was appointed Professor of Periodontology and Head of the Periodontology Unit at UCL in 2017. His research focus is on the association between periodontal diseases and systemic diseases including cardiovascular diseases and diabetes and on identifying novel treatments for periodontitis (by non-surgical and surgical means). His clinical focus is on the management of periodontitis using both non-surgical and surgical means, soft and hard tissues regenerative therapies, advanced management and placement of dental implants including treatment of their complications. Praveen Sharma,Associate Professor,University of Birmingham,Birmingham, United Kingdom Dr Sharma is a Clinical Senior Lecturer and honorary Specialist Registrar in Restorative Dentistry at the School of Dentistry in the University of Birmingham. He completed his PhD in 2019, funded by the NIHR (National Institute for Health Research) as part of the Doctoral Research Fellowship (DRF). His research expertise lie in the fields of big data, epidemiology, medical statistics and the interface between oral and systemic diseases. Praveen’s research has won him numerous accolades and he has been invited by national and international periodontal societies to present his research. Praveen is a calibrated assessor of dental indices used in clinical studies. Sue Pavitt,Professor,University of Leeds,Leeds, United Kingdom Prof Sue Pavitt is the Director at Dental Translational & Clinical Research Unit (DenTCRU) specialised in translational and Applied Health Research. Her areas of expertise include: Efficient clinical trial design; MAMS clinical trials; Efficacy & Mechanistic Evaluations; Translational Research; Patient Public Involvement & Engagement; and Oral & Systemic Health link.
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内容整理自Jing Kang博士的文字采访
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