Cataloging Existing Hearing Loss Cohort Data to Guide the Development of Precision Medicine for Sensorineural Hearing Loss: A Systematic Review of Hearing Repositories.

Priya Sethukumar, Rishi Mandavia, Omursen Yildirim, Georgina Hazell, Haran Devakumar, Muhammad Ahmed, Emilien Stragier, Marie Josée Duran, Anne G M Schilder, Nishchay Mehta
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Abstract

Recent breakthroughs in our understanding of sensorineural hearing loss etiology have encouraged the identification of novel hearing therapeutics, paving the way for precision hearing medicine. Critical to this field is the curation of health resources on hearing data. A systematic review of the literature was conducted to map existing (inter)national and regional datasets that include hearing data to inform the development of future hearing repositories. Systematic literature review was performed adhering to Preferred Reporting Items for Systematic Review and MetaAnalysis recommendations. Databases, including those from gray literature, were searched to identify publications reporting on phenotypic and/ or genotypic hearing data in May 2019. The databases reviewed were Medline, PubMed, Embase databases, and Google Scholar. Publications on local datasets were excluded. All hearing datasets identified in the screening process were noted. For each dataset, geography, context, objective, period of time run, numbers and demographics of participants, genomic data, hearing measures and instruments used were extracted and cataloged. One hundred and eighty-eight datasets were identified, containing hearing data on populations ranging from 100 to 1.39 million individuals, and all extracted data have been cataloged. This searchable resource has been made accessible online. This unique catalog provides an overview of existing datasets that contain valuable information on hearing. This can be used to inform the development of national and international patient data repositories for hearing loss and guide strategic collaboration between key stakeholder groups, pivotal to the delivery and development of sensorineural hearing loss precision diagnostics and treatments.

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编目现有听力损失队列数据以指导感神经性听力损失精准医学的发展:听力知识库的系统综述。
最近,我们对感音神经性听力损失病因的理解取得了突破,这鼓励了新的听力疗法的开发,为精准听力医学铺平了道路。这一领域的关键是对听力数据的卫生资源的管理。对文献进行了系统回顾,以绘制现有(国家间)和区域数据集,其中包括听力数据,为未来听力库的开发提供信息。根据系统综述和荟萃分析建议的首选报告项目进行系统文献综述。搜索数据库,包括灰色文献中的数据库,以确定2019年5月报告表型和/或基因型听力数据的出版物。审查的数据库包括Medline、PubMed、Embase数据库和Google Scholar。本地数据集上的出版物被排除在外。对筛选过程中确定的所有听力数据集进行了记录。对于每个数据集,提取并编目了地理、背景、目标、运行时间、参与者的数量和人口统计、基因组数据、听力测量和使用的仪器。已经确定了188个数据集,其中包含1亿至139万人的听力数据,所有提取的数据都已编目。此可搜索资源已在线访问。这个独特的目录提供了现有数据集的概述,这些数据集包含有关听力的宝贵信息。这可用于为国家和国际听力损失患者数据库的开发提供信息,并指导关键利益相关者群体之间的战略合作,这对提供和开发感音神经性听力损失精确诊断和治疗至关重要。
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