The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Gamma Interferon Release Assays for Detection of Mycobacterium tuberculosis Infection
Open accessAbstract
SUMMARY: Identification and treatment of latent tuberculosis infection (LTBI) can substantially reduce the risk of developing active disease. However, there is no diagnostic gold standard for LTBI. Two tests are available for identification of LTBI: the tuberculin skin test (TST) and the gamma interferon (IFN-γ) release assay (IGRA). Evidence suggests that both TST and IGRA are acceptable but imperfect tests. They represent indirect markers of Mycobacterium tuberculosis exposure and indicate a cellular immune response to M. tuberculosis . Neither test can accurately differentiate between LTBI and active TB, distinguish reactivation from reinfection, or resolve the various stages within the spectrum of M. tuberculosis infection. Both TST and IGRA have reduced sensitivity in immunocompromised patients and have low predictive value for progression to active TB. To maximize the positive predictive value of existing tests, LTBI screening should be reserved for those who are at sufficiently high risk of progressing to disease. Such high-risk individuals may be identifiable by using multivariable risk prediction models that incorporate test results with risk factors and using serial testing to resolve underlying phenotypes. In the longer term, basic research is necessary to identify highly predictive biomarkers.
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Cites
An interferon-inducible neutrophil-driven blood transcriptional signature in human tuberculosis
Berry, M. P. R., Graham, C. M., McNab, F. W., Xu, Z., Bloch, S. A. A., Oni, T., Wilkinson, K. A., Banchereau, R., Skinner, J., Wilkinson, R. J., et al. (2010) · Nature · doi:10.1038/nature09247 · Cited by 1,898
Molecular analysis of genetic differences between Mycobacterium bovis BCG and virulent M. bovis
Mahairas, G. G., Sabo, P. J., Hickey, M. J., Singh, D. C., & Stover, C. K. (1996) · Journal of Bacteriology · doi:10.1128/jb.178.5.1274-1282.1996 · Cited by 1,103
Cited by
The Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling
Houben, R. M. G. J., & Dodd, P. J. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002152 · Cited by 2,054
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
Self-citationLewinsohn, 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
“While the number needed to treat based on IGRAs is not known with certainty, early evidence suggests that it is not likely to be dramatically different [24, 55].”
BackgroundInfluentialSelf-citationFurin, J., Cox, H., & Pai, M. (2019) · The Lancet · doi:10.1016/s0140-6736(19)30308-3 · Cited by 873
Self-citationThe global prevalence of latent tuberculosis: A systematic review and meta-analysis
Cohen, A., Mathiasen, V. D., Schön, T., & Wejse, C. (2019) · European Respiratory Journal · doi:10.1183/13993003.00655-2019 · Cited by 547
Metadata
- Authors
- Pai, M., Denkinger, C. M., Kik, S. V., Rangaka, M. X., Zwerling, A., Oxlade, O., Metcalfe, J. Z., Cattamanchi, A., Dowdy, D. W., Dheda, K., & Banaei, N.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2014-01
- Volume
- 27
- Issue
- 1
- Pages
- 3-20
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2141090053
- Cited by
- 886
- References
- 2
- FWCI
- 51.05
- Type
- journal article
- Language
- en
- Open access
- green
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- Pai, M., Denkinger, C. M., Kik, S. V., Rangaka, M. X., Zwerling, A., Oxlade, O., Metcalfe, J. Z., Cattamanchi, A., Dowdy, D. W., Dheda, K., & Banaei, N. (2014). Gamma Interferon Release Assays for Detection of Mycobacterium tuberculosis Infection. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00034-13
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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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