ArticleJournal of clinical microbiology2012
Multicytokine detection improves latent tuberculosis diagnosis in health care workers.
Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Diagnostic accuracy ofFrontiers in immunology · 2026Pooled it
- Is interleukin-2 an optimal marker for diagnosing tuberculosis infection? A systematic review and meta-analysis.Annals of medicine · 2020Pooled it
- Gaps in Study Design for Immune Parameter Research for Latent Tuberculosis Infection: A Systematic Review.Journal of immunology research · 2020Pooled it
- Diagnostic accuracy of IL-2 for the diagnosis of latent tuberculosis: a systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014Pooled it
- Diagnostic performance of stimulated plasma interferon-gamma inducible protein 10 (IP-10) for diagnosing latent tuberculosis infection in healthcare workers.Scientific reports · 2026Article
- Development and characterization of monoclonal antibodies specific for bovine IP-10.Veterinary research · 2025Article
- Association of Mycobacterium tuberculosis aerosolization and HIV coinfection in the index case with T cell responses in household contacts.Scientific reports · 2025Article
- Multiplexed cytokine profiling identifies diagnostic signatures for latent tuberculosis and reactivation risk stratification.PloS one · 2025Article
- Household contact antigen-speciResearch square · 2024Article
- Biomarkers to identifyThe European respiratory journal · 2022Article
- Infant TB Infection Prevention Study (iTIPS): a randomised trial protocol evaluating isoniazid to preventBMJ open · 2020Article
- IFN-γ, IL-2, IP-10, and MIG as Biomarkers of Exposure toFrontiers in cellular and infection microbiology · 2017Article
- Indicators to assess the quality of programs to prevent occupational risk for tuberculosis: are they feasible?Revista latino-americana de enfermagem · 2016Article
- Predictors of low prevalence of latent tuberculosis infection among Egyptian health care workers at intensive care and bronchoscopy units.GMS hygiene and infection control · 2016Article
- High IFN-γ Release and Impaired Capacity of Multi-Cytokine Secretion in IGRA Supernatants Are Associated with Active Tuberculosis.PloS one · 2016Article
- Article
- Novel T-cell assays for the discrimination of active and latent tuberculosis infection: the diagnostic value of PPE family.Molecular diagnosis & therapy · 2015Article
- IP-10 and MIG are compartmentalized at the site of disease during pleural and meningeal tuberculosis and are decreased after antituberculosis treatment.Clinical and vaccine immunology : CVI · 2014Article
- IGRA-positive patients and interferon-gamma/interleukin-2 signatures: can the Fluorospot assay provide further information?Infection · 2014Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a low-incidence setting, health care workers (HCW) are at a higher risk of tuberculosis than the general population. The suboptimal sensitivity of the QuantiFERON-TB Gold In-Tube (QFT) test remains a critical issue when identifying occupational latent tuberculosis infection (LTBI) in HCW. The aim of this study was to identify additional biomarkers in order to overcome the limits of gamma interferon (IFN-γ) release assays (IGRAs) and improve the performance of LTBI diagnosis within this population. Seventy Bacille Calmette-Guérin-vaccinated HCW regularly exposed to Mycobacterium tuberculosis were grouped according to QFT results into an LTBI-positive group (positive QFT, n = 8), an LTBI-negative group (normal QFT and negative tuberculin skin test [TST], n = 21), and an undetermined group (subpositive QFT and/or positive TST, n = 41). The secretion of 22 cytokines in response to QFT-specific stimulation was quantified using a multiparameter-based immunoassay. As a result, thresholds discriminating LTBI-positive from LTBI-negative HCW were established by comparing areas under the receiver operating characteristic curves for interleukin-2 (IL-2), IL-15, IFN-γ-induced protein 10 (IP-10), and the monokine induced by IFN-γ (MIG), which are biomarkers differentially secreted by the two groups. The combination of IL-15 and MIG provided a sensitivity of 100% and a specificity of 94.1% in distinguishing LTBI-positive from LTBI-negative HCW. When using IL-15 and MIG among the undetermined group, 6/45 HCW could be classified in the LTBI-positive group. The use of additional biomarkers after IGRA screening could improve the diagnosis of LTBI. The performance of these biomarkers and their use in combination with TST and/or QFT, as well as the cost-effectiveness of such a diagnostic strategy, should be evaluated in further larger clinical trials.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.