Evidence map›Paper›PMID 42828061›Full record

ArticleCureus2026

Comparison of Tuberculin Skin Test and Interferon-Gamma Release Assay for Latent Tuberculosis Screening in Healthcare Workers.

Khalid Alrajhi, Ahmad Algarni, Walaa Abulola, Abdulaziz Alhadad, Saja Fallatah, Mariam Alrajhi, Arwa Ghasib, Hanan Fan, Yusuf Vali

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Khalid AlrajhiInternal Medicine, King Fahad Armed Forces Hospital, Jeddah, SAU.
Ahmad AlgarniInternal Medicine, King Fahad Armed Forces Hospital, Jeddah, SAU.
Walaa AbulolaInternal Medicine, King Fahad Armed Forces Hospital, Jeddah, SAU.
Abdulaziz AlhadadInternal Medicine, King Fahad Armed Forces Hospital, Jeddah, SAU.
Saja FallatahInternal Medicine, King Fahad Armed Forces Hospital, Jeddah, SAU.
Mariam AlrajhiMedicine, Ibn Sina National College for Medical Studies, Jeddah, SAU.
Arwa GhasibPulmonology, King Fahad Armed Forces Hospital, Jeddah, SAU.
Hanan FanPulmonology, King Fahad Armed Forces Hospital, Jeddah, SAU.
Yusuf ValiPulmonology, King Fahad Armed Forces Hospital, Jeddah, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Latent tuberculosis infection (LTBI) screening in healthcare settings remains crucial for tuberculosis control. Current screening methods include the Mantoux tuberculin skin test (TST) and interferon-gamma release assay (IGRA), but their comparative effectiveness in healthcare worker screening remains unclear. Objective This study aims to compare the diagnostic performance of the TST and the IGRA QuantiFERON-TB Gold Plus (QFT-Plus) in the detection of LTBI among healthcare workers at King Fahad Armed Forces Hospital in Jeddah. As no definitive gold standard for LTBI exists, QFT-Plus was used as the reference comparator: the primary objective was to quantify agreement between the two tests, while identification of an ROC (receiver operating characteristic)-derived optimal TST induration threshold was a secondary, exploratory objective. Methods A retrospective cohort study was conducted between January and November 2020, analyzing data from immunocompetent employees with documented Bacillus Calmette-Guérin (BCG) vaccination status. TST was performed using the Mantoux technique, and QFT-Plus testing was conducted according to manufacturer protocols. Statistical analysis included determination of sensitivity, specificity, and predictive values and ROC curve analysis. Because no gold standard for LTBI exists, these measures describe agreement with QFT-Plus rather than true diagnostic accuracy. Follow-up data were obtained from electronic medical records to assess progression to active tuberculosis over a five-year period. Results Among 201 participants, QFT-Plus and TST identified 11.4% and 38.3% positive cases, respectively. TST demonstrated 87.0% sensitivity and 68.0% specificity compared to QFT-Plus, with positive and negative predictive values of 26.0% and 97.6%, respectively. Receiver operating characteristic (ROC) analysis identified an optimal TST threshold of 10.5 mm, with an AUC (area under the curve) of 0.871 (95% CI: 0.805-0.937). This threshold was derived and assessed in the same dataset without independent validation and is therefore exploratory. Demographic analysis revealed no significant differences in TB positivity rates across age groups, gender, or nationality (p > 0.05). Most participants (99.0%) had documented BCG vaccination, which may explain the higher rate of TST positivity relative to QFT-Plus, consistent with reduced TST specificity in this cohort. Additionally, during a five-year follow-up period, none of the individuals with discordant results (TST-positive/IGRA-negative) progressed to active tuberculosis. Conclusion Relative to QFT-Plus, TST showed higher comparator-based sensitivity but lower comparator-based specificity, suggesting potential for over-diagnosis in BCG-vaccinated healthcare workers. Because QFT-Plus is an imperfect comparator rather than a gold standard, and because the 10.5 mm threshold was not independently validated, these findings are preliminary and apply to the healthcare worker cohort studied; they should not be read as definitive diagnostic accuracy or as a generalizable screening recommendation. A five-year follow-up demonstrated no progression to active tuberculosis among individuals with discordant TST-positive/IGRA-negative results.

Indexed as

healthcare-workerinterferon gamma release assaylatent tuberculosis infectionoccupational health screeningquantiferon-tb gold plustuberculin skin test

Identifiers

PMID42828061
PMCPMC13632901

What OpenQuestion holds

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Registered trials

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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.