Literature DB >> 27825497

Predicting tuberculosis risk.

Sandra V Kik1, Frank Cobelens2, David Moore3.   

Abstract

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Year:  2016        PMID： 27825497     DOI： 10.1016/S0140-6736(16)32070-0

Source DB:  PubMed          Journal:  Lancet        ISSN： 0140-6736            Impact factor:   79.321


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  6 in total

1.  The Health and Economic Benefits of Tests That Predict Future Progression to Tuberculosis Disease.

Authors:  Nicolas A Menzies; Sourya Shrestha; Andrea Parriott; Suzanne M Marks; Andrew N Hill; David W Dowdy; Priya B Shete; Ted Cohen; Joshua A Salomon
Journal:  Epidemiology       Date:  2022-01-01       Impact factor: 4.822

2.  Prognostic value of interferon-γ release assays and tuberculin skin test in predicting the development of active tuberculosis (UK PREDICT TB): a prospective cohort study.

Authors:  Ibrahim Abubakar; Francis Drobniewski; Jo Southern; Alice J Sitch; Charlotte Jackson; Marc Lipman; Jonathan J Deeks; Chris Griffiths; Graham Bothamley; William Lynn; Helen Burgess; Bobby Mann; Ambreen Imran; Saranya Sridhar; Chuen-Yan Tsou; Vladyslav Nikolayevskyy; Melanie Rees-Roberts; Hilary Whitworth; Onn Min Kon; Pranab Haldar; Heinke Kunst; Sarah Anderson; Andrew Hayward; John M Watson; Heather Milburn; Ajit Lalvani
Journal:  Lancet Infect Dis       Date:  2018-08-30       Impact factor: 71.421

3.  Predicting progression to active tuberculosis: A rate-limiting step on the path to elimination.

Authors:  Ajit Lalvani; Luis C Berrocal-Almanza; Alice Halliday
Journal:  PLoS Med       Date:  2019-05-24       Impact factor: 11.069

4.  Immunometabolic Signatures Predict Risk of Progression to Active Tuberculosis and Disease Outcome.

Authors:  Fergal J Duffy; January Weiner; Scott Hansen; David L Tabb; Sara Suliman; Ethan Thompson; Jeroen Maertzdorf; Smitha Shankar; Gerard Tromp; Shreemanta Parida; Drew Dover; Michael K Axthelm; Jayne S Sutherland; Hazel M Dockrell; Tom H M Ottenhoff; Thomas J Scriba; Louis J Picker; Gerhard Walzl; Stefan H E Kaufmann; Daniel E Zak
Journal:  Front Immunol       Date:  2019-03-22       Impact factor: 7.561

5.  Two Clinical Prediction Tools to Improve Tuberculosis Contact Investigation.

Authors:  Ruoran Li; Francesco Nordio; Chuan-Chin Huang; Carmen Contreras; Roger Calderon; Rosa Yataco; Jerome T Galea; Zibiao Zhang; Mercedes C Becerra; Leonid Lecca; Megan B Murray
Journal:  Clin Infect Dis       Date:  2020-11-05       Impact factor: 9.079

6.  Time Since Infection and Risks of Future Disease for Individuals with Mycobacterium tuberculosis Infection in the United States.

Authors:  Nicolas A Menzies; Nicole Swartwood; Christian Testa; Yelena Malyuta; Andrew N Hill; Suzanne M Marks; Ted Cohen; Joshua A Salomon
Journal:  Epidemiology       Date:  2021-01       Impact factor: 4.860
  6 in total

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