Evidence map›Paper›PMID 20210999›Full record

ArticleBMC infectious diseases2010

Diagnosis and follow-up of treatment of latent tuberculosis; the utility of the QuantiFERON-TB Gold In-tube assay in outpatients from a tuberculosis low-endemic country.

Anne M Dyrhol-Riise, Gerd Gran, Tore Wentzel-Larsen, Bjørn Blomberg, Christel Gill Haanshuus, Odd Mørkve

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Evaluation of interferon-gamma release assays for the diagnosis of tuberculosis: an updated meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012
    Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Capturing RecentTropical medicine and infectious disease · 2024
    Article
  7. Challenges in Developing a Controlled Human Tuberculosis Challenge Model.Current topics in microbiology and immunology · 2024
    Review
  8. Article
  9. Article
  10. The Biological and Clinical Aspects of a Latent Tuberculosis Infection.Tropical medicine and infectious disease · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Assessment of treatment response in tuberculosis.Expert review of respiratory medicine · 2016
    Review
  19. Observational
  20. Article
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

6 authors at 2 institutions in 1 country.

Anne M Dyrhol-RiiseDepartment of Medicine, Section of Infectious diseases, Haukeland University Hospital, Bergen, N-5021, Norway. adri@helse-bergen.no
Gerd Gran
Tore Wentzel-Larsen
Bjørn Blomberg
Christel Gill Haanshuus
Odd Mørkve
Haukeland University Hospital · NOUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterferon-gamma (IFN-gamma) Release Assays (IGRA) are more specific than the tuberculosis skin test (TST) in the diagnosis of latent tuberculosis (TB) infection (LTBI). We present the performance of the QuantiFERON-TB Gold In-tube (QFT-TB) assay as diagnostic test and during follow-up of preventive TB therapy in outpatients from a TB low-endemic country.

methods481 persons with suspected TB infection were tested with QFT-TB. Thoracic X-ray and sputum samples were performed and a questionnaire concerning risk factors for TB was filled. Three months of isoniazid and rifampicin were given to patients with LTBI and QFT-TB tests were performed after three and 15 months.

resultsThe QFT-TB test was positive in 30.8% (148/481) of the total, in 66.9% (111/166) of persons with origin from a TB endemic country, in 71.4% (20/28) previously treated for TB and in 100% (15/15) of those diagnosed with active TB with no inconclusive results. The QFT-TB test was more frequently positive in those with TST > or = 15 mm (47.5%) compared to TST 11-14 mm (21.3%) and TST 6-10 mm (10.5%), (p < 0.001). Origin from a TB endemic country (OR 6.82, 95% CI 1.73-26.82), recent stay in a TB endemic country (OR 1.32, 95% CI 1.09-1.59), duration of TB exposure (OR 1.59, 95% CI 1.14-2.22) and previous TB disease (OR 11.60, 95% CI 2.02-66.73) were all independently associated with a positive QFT-TB test. After preventive therapy, 35/40 (87.5%) and 22/26 (84.6%) were still QFT-TB positive after three and 15 months, respectively. IFN-gamma responses were comparable at start (mean 6.13 IU/ml +/- SD 3.99) and after three months (mean 5.65 IU/ml +/- SD 3.66) and 15 months (mean 5.65 IU/ml +/- SD 4.14), (p > 0.05).

conclusionOnly one third of those with suspected TB infection had a positive QFT-TB test. Recent immigration from TB endemic countries and long duration of exposure are risk factors for a positive QFT-TB test and these groups should be targeted through screening. Since most patients remained QFT-TB positive after therapy, the test should not be used to monitor the effect of preventive therapy. Prospective studies are needed in order to determine the usefulness of IGRA tests during therapy.

Indexed as

AdolescentAdultAgedAmbulatory CareAnimalsAntitubercular AgentsChildClinical Laboratory TechniquesDrug MonitoringFemaleFollow-Up StudiesHumansImmunoassayIsoniazidLatent TuberculosisMaleAntitubercular AgentsIsoniazidRifampin

Identifiers

PMID20210999
PMCPMC2842274
OpenAlexW2097103917

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.