The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
Tuberculosis
Abstract
Tuberculosis remains the leading cause of death from an infectious disease among adults worldwide, with more than 10 million people becoming newly sick from tuberculosis each year. Advances in diagnosis, including the use of rapid molecular testing and whole-genome sequencing in both sputum and non-sputum samples, could change this situation. Although little has changed in the treatment of drug-susceptible tuberculosis, data on increased efficacy with new and repurposed drugs have led WHO to recommend all-oral therapy for drug-resistant tuberculosis for the first time ever in 2018. Studies have shown that shorter latent tuberculosis prevention regimens containing rifampicin or rifapentine are as effective as longer, isoniazid-based regimens, and there is a promising vaccine candidate to prevent the progression of infection to the disease. But new tools alone are not sufficient. Advances must be made in providing high-quality, people-centred care for tuberculosis. Renewed political will, coupled with improved access to quality care, could relegate the morbidity, mortality, and stigma long associated with tuberculosis, to the past.
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Cites
High-quality health systems in the Sustainable Development Goals era: time for a revolution
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The Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling
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Self-citationDrivers of tuberculosis epidemics: The role of risk factors and social determinants
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Out-of-Africa migration and Neolithic coexpansion of Mycobacterium tuberculosis with modern humans
Comas, I., Coscolla, M., Luo, T., Borrell, S., Holt, K. E., Kato-Maeda, M., Parkhill, J., Malla, B., Berg, S., Thwaites, G., et al. (2013) · Nature Genetics · doi:10.1038/ng.2744 · Cited by 1,025
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Gamma Interferon Release Assays for Detection of Mycobacterium tuberculosis Infection
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Self-citationA blood RNA signature for tuberculosis disease risk: a prospective cohort study
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Short, Highly Effective, and Inexpensive Standardized Treatment of Multidrug-resistant Tuberculosis
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Cited by
Caraux-Paz, P., Diamantis, S., de Wazières, B., & Gallien, S. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10245888 · Cited by 174
Leveraging Uncertainty in Machine Learning Accelerates Biological Discovery and Design
Hie, B., Bryson, B. D., & Berger, B. (2020) · Cell Systems · doi:10.1016/j.cels.2020.09.007 · Cited by 154
Mycobacterium smegmatis: The Vanguard of Mycobacterial Research
Sparks, I. L., Derbyshire, K. M., Jacobs, W. R., & Morita, Y. S. (2023) · Journal of Bacteriology · doi:10.1128/jb.00337-22 · Cited by 149
Zang, J., Tian, Y., Jiang, X., & Lin, X.-Y. (2020) · Medicine · doi:10.1097/md.0000000000023770 · Cited by 20
Kumar, N., Sharma, S., & Kaushal, P. S. (2024) · Nature Communications · doi:10.1038/s41467-024-44879-y · Cited by 20
Metadata
- Authors
- Furin, J., Cox, H., & Pai, M.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 393
- Issue
- 10181
- Pages
- 1642-1656
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W4211157605
- Cited by
- 873
- References
- 101
- FWCI
- 63.49
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
