Evidence map›Paper›PMID 30805899›Full record

SynthesisInfection2019

Latent tuberculosis infection in transplant candidates: a systematic review and meta-analysis on TST and IGRA.

Mohammad Javad Nasiri, Ali Pormohammad, Hossein Goudarzi, Masoud Mardani, Samin Zamani, Giovanni Battista Migliori, Giovanni Sotgiu

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Infection, 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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Optimizing compliance with latent tuberculosis infection screening among kidney transplant recipients.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Agreement between the results of tuberculin skin test and Interferon-Gamma Release Assays in renal transplant candidates.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2021
    Article
  12. 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

7 authors.

Mohammad Javad NasiriDepartment of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. mj.nasiri@hotmail.com.ORCID http://orcid.org/0000-0002-3279-0671
Ali PormohammadDepartment of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hossein GoudarziDepartment of Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Masoud MardaniInfectious Diseases and Tropical Medicine Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Samin ZamaniInfectious Diseases Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Giovanni Battista MiglioriIstituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy.
Giovanni SotgiuClinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.

Funding

World Health Organization 2017-2020-GBM/RC/LDA.World Health Organization ITA-80
6 · The paper itself

Abstract

introductionThe diagnostic accuracy of interferon-gamma release assays (IGRAs) and the tuberculin skin test (TST) for latent tuberculosis infection (LTBI) in transplant candidates is uncertain.

methodsPubmed, Embase and Cochrane library were searched to identify relevant studies. Quality of included studies was assessed with RevMan5 software (via GUADAS2 checklist). Accuracy measures of IGRAs and TST assays (sensitivity, specificity and others) were pooled with random effects model. Data were analyzed by STATA and Meta-DiSc.

resultsTwenty-eight studies were selected for full review, and 16 were included in the final analysis. The pooled sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR) for TST were 46% [95% confidence interval (CI) 38-54%], 86% (95% CI 75-93%), 46.3% (95% CI 40-52), 88.7% (95% CI 87-89), 3.3 (95% CI 1.6-6.4), 0.63 (95% CI 0.52-0.77) and 5 (95% CI 2-12), respectively. For QFT-G, the pooled sensitivity, specificity, PPV, NPV, PLR, NLR, and DOR were 58% (95% CI 41-73%), 89% (95% CI 77-95%), 72.7% (95% CI 68-76), 80.6% (95% CI 78-82), 5.3 (95% CI 2.0-14.0), 0.47 (95% CI 0.30-0.75) and 11 (95% CI 3-46), respectively. Likewise, for T-SPOT.TB, the pooled sensitivity, specificity, PPV, NPV, PLR, NLR, and DOR were 55% (95% CI 40-70%), 92% (95% CI 87-95%), 60.4% (95% CI 47-72), 90.2% (95% CI 86-92), 6.7 (95% CI 4.0-11.1), 0.52 (95% CI 0.31-0.85) and 16 (95% CI 7-37), respectively.

conclusionsIGRAs were more sensitive and specific than the TST with regard to the diagnosis of LTBI in the transplant candidates. They have added value and can be complementary to TST.

Indexed as

HumansInterferon-gamma Release TestsLatent TuberculosisSensitivity and SpecificityTissue DonorsTuberculin TestInterferon-gamma release assays (IGRAs)Latent tuberculosis infection (LTBI)TransplantationTuberculin skin test (TST)

Identifiers

PMID30805899

What OpenQuestion holds

Textmetadata
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.