2016
DOI: 10.1371/journal.pone.0161983
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The Clinical Usefulness of Tuberculin Skin Test versus Interferon-Gamma Release Assays for Diagnosis of Latent Tuberculosis in HIV Patients: A Meta-Analysis

Abstract: BackgroundAccurate diagnosis of latent tuberculosis infection (LTBI) is becoming increasingly concerning due to the increasing the HIV epidemic, which have increased the risk for reactivation to active tuberculosis (TB) infection. LTBI is diagnosed by tuberculin skin test (TST) and interferon-gamma release assays (IGRAs).ObjectivesThe aim of the present study was to conduct a meta-analysis of published papers on the agreement (kappa) between TST and QuantiFERON-TB Gold In-Tube (QFT-GIT) tests for diagnosis of … Show more

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Cited by 28 publications
(22 citation statements)
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“…Our results are lower than those of the meta-analysis done by Ayubi et al [26] who found the prevalence of LTBI among HIV infected adults to be 59% (95% CI: 49, 69).…”
Section: Discussioncontrasting
confidence: 97%
“…Our results are lower than those of the meta-analysis done by Ayubi et al [26] who found the prevalence of LTBI among HIV infected adults to be 59% (95% CI: 49, 69).…”
Section: Discussioncontrasting
confidence: 97%
“…This is relevant because infection with M.tb is thought to confer protection against incident disease from re-infection in HIV-uninfected individuals ( Andrews et al, 2012 ), and it may be that HIV increases susceptibility to M.tb infection. The protection conferred by previous infection is often assumed to be absent in PLHIV, but quantitative evidence is lacking due to the particular problems of TST as a test for infection in this population ( Ayubi et al, 2016 ). Ultimately, this means the relationship analyzed is between CD4 count and TB incidence either from primary progression, re-activation or re-infection.…”
Section: Discussionmentioning
confidence: 99%
“…We did not construct pooled PABAK values because the lack of information on TST−/QFT-GIT−, TST−/QFT-GIT+, TST +/QFT-GIT−, TST+/QFT-GIT+ meant we were unable to derive that statistic. However, prevalence of disease and bias in measurements are known to have significant effect on κ estimate [35] as has been demonstrated in two previous meta-analyses [23,25]. We pooled κ estimates from countries with both high and low incidence of TB.…”
Section: Discussionmentioning
confidence: 99%