Literature DB >> 30139776

An evaluation framework for new tests that predict progression from tuberculosis infection to clinical disease.

Sandra V Kik1,2, Samuel Schumacher3, Daniela Maria Cirillo4, Gavin Churchyard5,6,7, Catharina Boehme3, Delia Goletti8, Molebogeng X Rangaka9,10, Claudia M Denkinger3, Christian Lienhardt11,12, Christopher Gilpin11, Alberto Matteelli13, Frank Cobelens1,2.   

Abstract

Novel accurate tests are needed that identify individuals infected with Mycobacterium tuberculosis who have incipient disease and are likely to develop clinical tuberculosis (TB) in the near future to allow for targeted preventive treatment beyond the current risk groups. Recently, a target product profile was developed that outlines the minimal and optimal characteristics for such an incipient TB test. We describe an evaluation framework for generating evidence to inform the development of policy guidance for the use of such a new test by the World Health Organization. Two research objectives are addressed. 1) The predictive ability of an incipient TB test should be assessed in clinical evaluation studies that include the intended target population and follow-up of sufficient duration to observe whether individuals do or do not progress to clinical TB disease. 2) Studies are needed to evaluate the test under routine programmatic conditions and measure its impact on patient- or health-system-important outcomes. For both research objectives, study designs, methods and analysis are described, with the intent to inform the clinical development plans of test manufacturers, researchers and funders. The content of this work is copyright of the authors or their employers. Design and branding are copyright ©ERS 2018.

Entities:  

Mesh:

Year:  2018        PMID: 30139776     DOI: 10.1183/13993003.00946-2018

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  8 in total

1.  TB preventive treatment in high- and intermediate-incidence countries: research needs for scale-up.

Authors:  O Oxlade; S den Boon; D Menzies; D Falzon; M Y Lane; A Kanchar; M Zignol; A Matteelli
Journal:  Int J Tuberc Lung Dis       Date:  2021-10-01       Impact factor: 2.373

2.  Mycobacterium tuberculosis Immune Response in Patients With Immune-Mediated Inflammatory Disease.

Authors:  Elisa Petruccioli; Linda Petrone; Teresa Chiacchio; Chiara Farroni; Gilda Cuzzi; Assunta Navarra; Valentina Vanini; Umberto Massafra; Marianna Lo Pizzo; Giuliana Guggino; Nadia Caccamo; Fabrizio Cantini; Fabrizio Palmieri; Delia Goletti
Journal:  Front Immunol       Date:  2021-08-10       Impact factor: 7.561

3.  Unmasking the hidden tuberculosis mortality burden in a large post mortem study in Maputo Central Hospital, Mozambique.

Authors:  Alberto L Garcia-Basteiro; Juan Carlos Hurtado; Paola Castillo; Fabiola Fernandes; Mireia Navarro; Lucilia Lovane; Isaac Casas; Llorenç Quintó; Dercio Jordao; Mamudo R Ismail; Cesaltina Lorenzoni; Carla Carrilho; Ariadna Sanz; Natalia Rakislova; Aurea Mira; Miriam J Alvarez-Martínez; Anélsio Cossa; Frank Cobelens; Inácio Mandomando; Jordi Vila; Quique Bassat; Clara Menendez; Jaume Ordi; Miguel J Martínez
Journal:  Eur Respir J       Date:  2019-10-01       Impact factor: 16.671

4.  Identification of subclinical tuberculosis in household contacts using exposure scores and contact investigations.

Authors:  Gry Klouman Bekken; Christian Ritz; Sumithra Selvam; Nelson Jesuraj; Anneke C Hesseling; T Mark Doherty; Harleen M S Grewal; Mario Vaz; Synne Jenum
Journal:  BMC Infect Dis       Date:  2020-01-31       Impact factor: 3.090

Review 5.  The diagnosis of latent tuberculosis infection (LTBI): currently available tests, future developments, and perspectives to eliminate tuberculosis (TB).

Authors:  Jean Pierre Zellweger; Giovanni Sotgiu; Massimo Corradi; Paolo Durando
Journal:  Med Lav       Date:  2020-06-26       Impact factor: 1.275

6.  Paediatric tuberculosis diagnosis using Mycobacterium tuberculosis real-time polymerase chain reaction assay: a systematic review and meta-analysis.

Authors:  Emmanuel Oladipo Babafemi; Benny P Cherian; Beatrice Ouma; Gilbert Mangua Mogoko
Journal:  Syst Rev       Date:  2021-10-27

7.  Multi-country evaluation of RISK6, a 6-gene blood transcriptomic signature, for tuberculosis diagnosis and treatment monitoring.

Authors:  Rim Bayaa; Mame Diarra Bousso Ndiaye; Carole Chedid; Eka Kokhreidze; Nestani Tukvadze; Sayera Banu; Mohammad Khaja Mafij Uddin; Samanta Biswas; Rumana Nasrin; Paulo Ranaivomanana; Antso Hasina Raherinandrasana; Julio Rakotonirina; Voahangy Rasolofo; Giovanni Delogu; Flavio De Maio; Delia Goletti; Hubert Endtz; Florence Ader; Monzer Hamze; Mohamad Bachar Ismail; Stéphane Pouzol; Niaina Rakotosamimanana; Jonathan Hoffmann
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.996

8.  Transcriptional biomarkers for predicting development of tuberculosis: progress and clinical considerations.

Authors:  Hanif Esmail; Frank Cobelens; Delia Goletti
Journal:  Eur Respir J       Date:  2020-03-05       Impact factor: 16.671

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.