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Infection and Drug Resistance
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Infection and Drug Resistance
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Advances in the Diagnosis of Latent Tuberculosis Infection

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Review 01 Jan 2025 English Publisher:Informa UK LimitedJournal:Infection and Drug Resistance, volume Volume 18, pages 483-493 (eissn: 1178-6973, Copyright policy )
Authors: Haiying Zhang; Weiwei Guan; Jikun Zhou;

doi: 10.2147/idr.s504632

pmid: 39882252

pmc: PMC11776534

Advances in the Diagnosis of Latent Tuberculosis Infection

Abstract

Latent tuberculosis infection (LTBI) is a critical stage of tuberculosis infection in which Mycobacterium tuberculosis (MTB) is dormant and does not cause active disease. Traditionally, the most commonly used clinical methods for diagnosing LTBI have been the tuberculin skin test (TST) and the interferon-gamma release assay (IGRA). Recently, however, novel skin tests, molecular biology techniques, and cytokine biomarkers have been developed. This review summarizes the latest research on the diagnosis of LTBI, highlighting new tools and methods to improve detection and differentiation from active tuberculosis(ATB).

Related Organizations
Keywords

latent infection, tuberculosis, Infection and Drug Resistance, diagnosis, public health, review, Infectious and parasitic diseases, RC109-216, Review

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold