Second line drug susceptibility testing to inform the treatment of rifampin-resistant tuberculosis: a quantitative perspective-Reference-Cited by-同舟云学术

Second line drug susceptibility testing to inform the treatment of rifampin-resistant tuberculosis: a quantitative perspective

Published:2017-03 Issue: Volume:56 Page:185-189
ISSN:1201-9712
Container-title:International Journal of Infectious Diseases
language:en
Short-container-title:International Journal of Infectious Diseases

Author:

Kendall Emily A.,Cohen Ted,Mitnick Carole D.,Dowdy David W.

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),General Medicine

Reference60 articles.

1. Global Tuberculosis Report 2016 [Internet]. Geneva: World Health Organization; 2016 [cited 2016 Oct 27]. Available from: http://www.who.int/tb/publications/global_report/en/.

2. Advances in tuberculosis diagnostics: the Xpert MTB/RIF assay and future prospects for a point-of-care test;Lawn;Lancet Infect Dis,2013

3. Population-based resistance of Mycobacterium tuberculosis isolates to pyrazinamide and fluoroquinolones: results from a multicountry surveillance project;Zignol;Lancet Infect Dis,2016

4. Additional drug resistance of multidrug-resistant tuberculosis in patients in 9 countries;Kurbatova;Emerg Infect Dis,2015

5. Resistance to fluoroquinolones and second-line injectable drugs: impact on multidrug-resistant TB outcomes;Falzon;Eur Respir J,2013

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