The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Predictive Value of a Whole Blood IFN-γ Assay for the Development of Active Tuberculosis Disease after Recent Infection with Mycobacterium tuberculosis
Abstract
RATIONALE: Numerous studies have been published on the new Mycobacterium tuberculosis (MTB)-specific IFN-gamma release assays. However, their prognostic value for progression from latent tuberculosis infection (LTBI) to active TB has yet to be established. OBJECTIVES: To compare the QuantiFERON-TB Gold In-Tube assay (QFT) with the tuberculin skin test (TST) in recently exposed close contacts of active TB cases with respect to their development of TB disease within 2 years. METHODS: Close contacts (n = 601) of MTB-positive source cases underwent both TST and QFT testing and were subsequently observed for 103 (+/-13.5) weeks. Risk factors for MTB infection were evaluated by multivariate analysis. MEASUREMENTS AND MAIN RESULTS: For the TST, 40.4% (243/601) of contacts were positive at a 5-mm cutoff, whereas only 66 (11%) were QFT positive. QFT positivity, but not TST, was associated with exposure time (P < 0.0001). Six contacts progressed to TB disease within the 2-year follow-up. All were QFT positive and had declined preventive treatment, equating to a progression rate of 14.6% (6/41) among those who were QFT positive. The progression rate for untreated TST-positive subjects was significantly lower (P < 0.003), at 2.3% (5 of 219), and one subject who progressed was TST negative. CONCLUSIONS: Results suggest that QFT is a more accurate indicator of the presence of LTBI than the TST and provides at least the same sensitivity for detecting those who will progress to active TB. The high rate of progression to active TB of those who are QFT positive (14.6%), which is far greater than the 2.3% found for those who are TST positive, has health and economic implications for enhanced TB control, particularly if this higher progression rate is seen in studies of other at-risk populations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
(2000) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.161.supplement_3.ats600 · Cited by 1,241
Specific Detection of Tuberculosis Infection: An Interferon-γ–based Assay Using New Antigens
Mori, T., Sakatani, M., Yamagishi, F., Takashima, T., Kawabe, Y., Nagao, K., Shigeto, E., Harada, N., Mitarai, S., Okada, M., et al. (2004) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200402-179oc · Cited by 657
Ewer, K., Deeks, J., Alvarez, L., Bryant, G., Waller, S., Andersen, P., Monk, P., & Lalvani, A. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12950-9 · Cited by 615
Comparison of Tuberculin Skin Test and New Specific Blood Test in Tuberculosis Contacts
Brock, I., Weldingh, K., Lillebaek, T., Follmann, F., & Andersen, P. (2004) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200402-232oc · Cited by 333
Proportion of tuberculosis transmission that takes place in households in a high-incidence area
Verver, S., Warren, R. M., Munch, Z., Richardson, M., van der Spuy, G. D., Borgdorff, M. W., Behr, M. A., Beyers, N., & van Helden, P. D. (2004) · The Lancet · doi:10.1016/s0140-6736(03)15332-9 · Cited by 301
Brock, I., Munk, M. E., Kok‐Jensen, A., et al. (2001) · PubMed · Cited by 179
Harada, N., Nakajima, Y., Higuchi, K., Sekiya, Y., Rothel, J. S., & Mori, T. (2006) · Infection Control and Hospital Epidemiology · doi:10.1086/504358 · Cited by 122
Behr, M. A., Hopewell, P. C., PAZ, E. A., Kawamura, L. M., Schecter, G. F., & Small, P. M. (1998) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.158.2.9801062 · Cited by 113
Cited by
Contact investigation for tuberculosis: a systematic review and meta-analysis
Fox, G. J., Barry, S. E., Britton, W. J., & Marks, G. B. (2013) · European Respiratory Journal · doi:10.1183/09031936.00070812 · Cited by 709
Mack, U., Migliori, G. B., Sester, M., Rieder, H. L., Ehlers, S., Goletti, D., Bossink, A., Magdorf, K., Hölscher, C., Kampmann, B., et al. (2009) · European Respiratory Journal · doi:10.1183/09031936.00120908 · Cited by 591
Self-citationThe global prevalence of latent tuberculosis: A systematic review and meta-analysis
Cohen, A., Mathiasen, V. D., Schön, T., & Wejse, C. (2019) · European Respiratory Journal · doi:10.1183/13993003.00655-2019 · Cited by 547
Solovic, I., Sester, M., Gomez-Reino, J. J., Rieder, H. L., Ehlers, S., Milburn, H. J., Kampmann, B., Hellmich, B., Groves, R., Schreiber, S., et al. (2010) · European Respiratory Journal · doi:10.1183/09031936.00028510 · Cited by 527
Self-citationImmunological biomarkers of tuberculosis
Walzl, G., Ronacher, K., Hanekom, W., Scriba, T. J., & Zumla, A. (2011) · Nature Reviews Immunology · doi:10.1038/nri2960 · Cited by 477
Metadata
- Authors
- Diel, R., Loddenkemper, R., Meywald-Walter, K., Niemann, S., & Nienhaus, A.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-05-15
- Volume
- 177
- Issue
- 10
- Pages
- 1164-1170
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- OpenAlex
- W2147180609
- Cited by
- 351
- References
- 16
- FWCI
- 39.71
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Predictive Value of a Whole Blood IFN-γ Assay for the Development of Active Tuberculosis Disease after Recent Infection with Mycobacterium tuberculosis. https://app.cochat.ai/papers/10.1164/rccm.200711-1613oc
- The paper
- Diel, R., Loddenkemper, R., Meywald-Walter, K., Niemann, S., & Nienhaus, A. (2008). Predictive Value of a Whole Blood IFN-γ Assay for the Development of Active Tuberculosis Disease after Recent Infection with Mycobacterium tuberculosis. American Journal of Respiratory and Critical Care Medicine. https://doi.org/10.1164/rccm.200711-1613oc
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.