ArticleInternational journal of environmental research and public health2019
Evaluating Latent Tuberculosis Infection Test Performance Using Latent Class Analysis in a TB and HIV Endemic Setting.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Pooled it
- Co-Occurring Risk Factors for Tuberculosis Preventive Treatment Non-Adherence Among People Living With HIV in Ethiopia: A Latent Class Analysis.Tropical medicine & international health : TM & IH · 2026Article
- Risk Factors for Immunological Sensitization to Mycobacterium tuberculosis and Progression to Incident TB Disease Among HIV-uninfected Adults in a High Burden Setting.The Journal of infectious diseases · 2026Article
- Comparative Diagnostic Performance of TST and IGRAs in the Diagnosis of Latent Tuberculosis Infection: A Systematic Review and Diagnostic Meta-Analysis.Diagnostics (Basel, Switzerland) · 2026Review
- Latent tuberculosis infection in focus: Evaluating public concerns, treatment perceptions, and awareness in King Sabatha Dalindyebo Local Municipality, Eastern Cape, South Africa.PLOS global public health · 2026Article
- Advancement in diagnostic approaches for latent tuberculosis: distinguishing recent from remote infections.One health outlook · 2025Review
- Immunological testing and machine learning in detecting latent tuberculosis among high-risk groups (nature review).Frontiers in medicine · 2025Review
- Advances in technology for the laboratory diagnosis of individuals with HIV/AIDS coinfected withBiosafety and health · 2024Review
- A novel diagnostic model for tuberculous meningitis using Bayesian latent class analysis.BMC infectious diseases · 2024Observational
- Examining Test Cutoffs to Optimize Diagnosis of Latent Tuberculosis Infection in People Born Outside the United States.Annals of the American Thoracic Society · 2023Article
- Observational
- Determinants of QuantiFERON Plus-diagnosed tuberculosis infection in adult Ugandan TB contacts: A cross-sectional study.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
backgroundGiven the lack of a gold standard for latent tuberculosis infection (LTBI) and paucity of performance data from endemic settings, we compared test performance of the tuberculin skin test (TST) and two interferon-gamma-release assays (IGRAs) among health-care workers (HCWs) using latent class analysis. The study was conducted in Cape Town, South Africa, a tuberculosis and human immunodeficiency virus (HIV) endemic setting Methods: 505 HCWs were screened for LTBI using TST, QuantiFERON-gold-in-tube (QFT-GIT) and T-SPOT.TB. A latent class model utilizing prior information on test characteristics was used to estimate test performance.
resultsLTBI prevalence (95% credible interval) was 81% (71-88%). TST (10 mm cut-point) had highest sensitivity (93% (90-96%)) but lowest specificity (57%, (43-71%)). QFT-GIT sensitivity was 80% (74-91%) and specificity 96% (94-98%), and for TSPOT.TB, 74% (67-84%) and 96% (89-99%) respectively. Positive predictive values were high for IGRAs (90%) and TST (99%). All tests displayed low negative predictive values (range 47-66%). A composite rule using both TST and QFT-GIT greatly improved negative predictive value to 90% (range 80-97%).
conclusionIn an endemic setting a positive TST or IGRA was highly predictive of LTBI, while a combination of TST and IGRA had high rule-out value. These data inform the utility of LTBI-related immunodiagnostic tests in TB and HIV endemic settings.
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Registered trials
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