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本文引用的文献

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Data for action: collection and use of local data to end tuberculosis.用于行动的数据:收集和使用本地数据以终结结核病
Lancet. 2015 Dec 5;386(10010):2324-33. doi: 10.1016/S0140-6736(15)00321-9. Epub 2015 Oct 26.
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Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform.建立全球结核病相关测序数据集中平台的协作努力。
Clin Infect Dis. 2015 Oct 15;61Suppl 3(Suppl 3):S141-6. doi: 10.1093/cid/civ610.
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A meta-analysis of the performance of the Pima™ CD4 for point of care testing.关于Pima™ CD4即时检测性能的荟萃分析。
BMC Med. 2015 Jul 25;13:168. doi: 10.1186/s12916-015-0396-2.
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WHO's new end TB strategy.世界卫生组织的新终结结核病战略。
Lancet. 2015 May 2;385(9979):1799-1801. doi: 10.1016/S0140-6736(15)60570-0. Epub 2015 Mar 24.
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Towards tuberculosis elimination: an action framework for low-incidence countries.迈向消除结核病:低发病率国家的行动框架。
Eur Respir J. 2015 Apr;45(4):928-52. doi: 10.1183/09031936.00214014.
6
Tuberculosis diagnostics in 2015: landscape, priorities, needs, and prospects.2015年结核病诊断:现状、重点、需求与前景
J Infect Dis. 2015 Apr 1;211 Suppl 2(Suppl 2):S21-8. doi: 10.1093/infdis/jiu803.
7
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Expert Rev Mol Diagn. 2015 Jan;15(1):9-22. doi: 10.1586/14737159.2015.976556. Epub 2014 Nov 6.
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Feasibility of decentralised deployment of Xpert MTB/RIF test at lower level of health system in India.在印度卫生系统较低层级分散部署Xpert MTB/RIF检测的可行性。
PLoS One. 2014 Feb 26;9(2):e89301. doi: 10.1371/journal.pone.0089301. eCollection 2014.
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Results from early programmatic implementation of Xpert MTB/RIF testing in nine countries.Xpert MTB/RIF 检测在九个国家的早期规划实施结果。
BMC Infect Dis. 2014 Jan 2;14:2. doi: 10.1186/1471-2334-14-2.
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Feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial.在非洲基层医疗环境中使用即时 Xpert MTB/RIF 检测进行结核病检测的可行性、准确性和临床效果:一项多中心、随机、对照试验。
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诊断技术的连通性:加强监测并加速消除结核病

Connectivity of diagnostic technologies: improving surveillance and accelerating tuberculosis elimination.

作者信息

Andre E, Isaacs C, Affolabi D, Alagna R, Brockmann D, de Jong B C, Cambau E, Churchyard G, Cohen T, Delmee M, Delvenne J-C, Farhat M, Habib A, Holme P, Keshavjee S, Khan A, Lightfoot P, Moore D, Moreno Y, Mundade Y, Pai M, Patel S, Nyaruhirira A U, Rocha L E C, Takle J, Trébucq A, Creswell J, Boehme C

机构信息

Pôle de Microbiologie Médicale, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium; Service de Microbiologie, Département de Biologie Clinique, Cliniques Universitaires Saint-Luc, Brussels, Belgium; European Society for Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Mycobacterial Infections (ESGMYC), ESCMID, Basel, Switzerland.

Foundation for Innovative New Diagnostics, Geneva, Switzerland.

出版信息

Int J Tuberc Lung Dis. 2016 Aug;20(8):999-1003. doi: 10.5588/ijtld.16.0015.

DOI:10.5588/ijtld.16.0015
PMID:27393530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4937753/
Abstract

In regard to tuberculosis (TB) and other major global epidemics, the use of new diagnostic tests is increasing dramatically, including in resource-limited countries. Although there has never been as much digital information generated, this data source has not been exploited to its full potential. In this opinion paper, we discuss lessons learned from the global scale-up of these laboratory devices and the pathway to tapping the potential of laboratory-generated information in the field of TB by using connectivity. Responding to the demand for connectivity, innovative third-party players have proposed solutions that have been widely adopted by field users of the Xpert(®) MTB/RIF assay. The experience associated with the utilisation of these systems, which facilitate the monitoring of wide laboratory networks, stressed the need for a more global and comprehensive approach to diagnostic connectivity. In addition to facilitating the reporting of test results, the mobility of digital information allows the sharing of information generated in programme settings. When they become easily accessible, these data can be used to improve patient care, disease surveillance and drug discovery. They should therefore be considered as a public health good. We list several examples of concrete initiatives that should allow data sources to be combined to improve the understanding of the epidemic, support the operational response and, finally, accelerate TB elimination. With the many opportunities that the pooling of data associated with the TB epidemic can provide, pooling of this information at an international level has become an absolute priority.

摘要

关于结核病(TB)及其他主要的全球流行病,新型诊断检测方法的使用正在急剧增加,在资源有限的国家也是如此。尽管产生的数字信息从未如此之多,但这一数据来源尚未得到充分利用。在这篇观点论文中,我们讨论了在全球范围内推广这些实验室设备所吸取的经验教训,以及通过利用连接性挖掘结核病领域实验室产生信息潜力的途径。为响应连接性需求,创新的第三方参与者提出了一些解决方案,这些方案已被Xpert(®)MTB/RIF检测的现场用户广泛采用。与利用这些有助于监测广泛实验室网络的系统相关的经验,强调了需要采取更具全球性和综合性的方法来实现诊断连接性。除了便于报告检测结果外,数字信息的流动性还允许共享项目环境中产生的信息。当这些数据易于获取时,可用于改善患者护理、疾病监测和药物研发。因此,应将它们视为公共卫生福祉。我们列举了几个具体举措的例子,这些举措应能使各种数据来源相结合,以增进对疫情的了解、支持业务应对并最终加速消除结核病。鉴于与结核病疫情相关的数据汇总所能带来的诸多机遇,在国际层面汇总这些信息已成为绝对优先事项。