The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Advances in diagnosis of Tuberculosis: an update into molecular diagnosis of Mycobacterium tuberculosis
Open accessAbstract
Tuberculosis (TB) is a major cause of deaths by a single infectious agent and has now been a global public health problem due to increasing numbers of drug-resistant cases. Early and effective treatment is crucial to prevent the emergence of drug-resistance strains. This demands the availability of fast and reliable point-of-care (POC) diagnostic methods for effective case management. Commonly used methods to screen and diagnose TB are clinical, immunological, microscopy, radiography, and bacterial culture. In addition, recent advances in molecular diagnostic methods including MTBDRplus, loop-mediated isothermal amplification (LAMP), line probe assay (LPA), GeneXpert, and whole genome sequencing (WGS) have been employed to diagnose and characterize TB. These methods can simultaneously identify Mycobacterium tuberculosis (MTB) and mutation(s) associated with routinely used anti-TB drugs. Here, we review the use of currently available diagnostic methods and strategies including conventional to recently implemented next-generation sequencing (NGS) methods used to detect MTB in clinical perspective.
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Citations
Cites
Global tuberculosis report (2014)
Gabbasova, L. A., & Who, E. R. E. (2014) · Cited by 12,702
Loop-mediated isothermal amplification of DNA
Notomi, T. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.12.e63 · Cited by 8,805
Rapid Molecular Detection of Tuberculosis and Rifampin Resistance
Boehme, C. C., Nabeta, P., Hillemann, D., Nicol, M. P., Shenai, S., Krapp, F., Allen, J., Tahirli, R., Blakemore, R., Rustomjee, R., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907847 · Cited by 2,309
The spectrum of latent tuberculosis: rethinking the biology and intervention strategies
Barry, C. E., Boshoff, H. I., Dartois, V., Dick, T., Ehrt, S., Flynn, J., Schnappinger, D., Wilkinson, R. J., & Young, D. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2236 · Cited by 1,422
Pai, M., Behr, M. A., Dowdy, D., Dheda, K., Divangahi, M., Boehme, C. C., Ginsberg, A., Swaminathan, S., Spigelman, M., Getahun, H., et al. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.76 · Cited by 1,270
Boehme, C. C., Nicol, M. P., Nabeta, P., Michael, J. S., Gotuzzo, E., Tahirli, R., Gler, M. T., Blakemore, R., Worodria, W., Gray, C., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60438-8 · Cited by 1,013
Lewinsohn, D. M., Leonard, M. K., LoBue, P. A., Cohn, D. L., Daley, C. L., Desmond, E., Keane, J., Lewinsohn, D. A., Loeffler, A. M., Mazurek, G. H., et al. (2017) · Clinical Infectious Diseases · doi:10.1093/cid/ciw694 · Cited by 992 · cited 1×
“Immunological methods such as TST, QFT and chest-X-ray are initial screening methods but providers should consider low predictive value of these tests in latent tuberculosis cases [76].”
MethodTuberculosis: Pathogenesis, Protection and Control
(1996) · Nature Medicine · doi:10.1038/nm0296-244b · Cited by 977
Helb, D., Jones, M., Story, E., Boehme, C., Wallace, E., Ho, K., Kop, J., Owens, M. R., Rodgers, R., Banada, P., et al. (2010) · Journal of Clinical Microbiology · doi:10.1128/jcm.01463-09 · Cited by 914
Next generation sequencing technology: Advances and applications
Buermans, H. P. J., & den Dunnen, J. T. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2014.06.015 · Cited by 752
Metadata
- Authors
- Acharya, B., Acharya, A., Gautam, S., Ghimire, S. P., Mishra, G., Parajuli, N., & Sapkota, B.
- Venue
- Molecular Biology Reports
- Published
- 2020-04-04
- Volume
- 47
- Issue
- 5
- Pages
- 4065-4075
- ISSN
- 0301-4851 (ISSN-L)
- 1573-4978
- OpenAlex
- W3014646141
- Cited by
- 292
- References
- 55
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- green
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- Acharya, B., Acharya, A., Gautam, S., Ghimire, S. P., Mishra, G., Parajuli, N., & Sapkota, B. (2020). Advances in diagnosis of Tuberculosis: an update into molecular diagnosis of Mycobacterium tuberculosis. Molecular Biology Reports. https://doi.org/10.1007/s11033-020-05413-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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