Evidence map›Paper›PMID 35058249›Full record

ArticleThe European respiratory journal2022

Biomarkers to identify

Jonathan W Uzorka, Jaap A Bakker, Krista E van Meijgaarden, Eliane M S Leyten, Nathalie M Delfos, David J Hetem, Jos Kerremans, Mieke Zwarts, Sandra Cozijn, Tom H M Ottenhoff and 2 more

Abstract read
In one paragraph

Article in The European respiratory journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Molecular signaling in coinfection: howFrontiers in immunology · 2026
    Review
  3. Article
  4. HIV and diabetes impairIJTLD open · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Evaluation of theFrontiers in cellular and infection microbiology · 2023
    Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jonathan W UzorkaDept of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands j.w.uzorka@lumc.nl.
Jaap A BakkerDept of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Centre, Leiden, The Netherlands.ORCID 0000-0002-2918-7361
Krista E van MeijgaardenDept of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
Eliane M S LeytenDept of Internal Medicine, Haaglanden Medical Centre, Den Haag, The Netherlands.
Nathalie M DelfosDept of Internal Medicine, Alrijne Hospital, Leiderdorp, The Netherlands.
David J HetemDept of Medical Microbiology, Haaglanden Medical Centre, Den Haag, The Netherlands.
Jos KerremansDept of Medical Microbiology, Alrijne Hospital, Leiderdorp, The Netherlands.
Mieke ZwartsDept of Clinical Chemistry and Laboratory Medicine, Haaglanden Medical Centre, Den Haag, The Netherlands.
Sandra CozijnDept of Medical Microbiology, Alrijne Hospital, Leiden, The Netherlands.
Tom H M OttenhoffDept of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
Simone A JoostenDept of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
Sandra M ArendDept of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.

Funding

HLA-E restricted T-cell immunity in Mycobacterium tuberculosis infectionR01AI141315 · NIAID · LEIDEN UNIVERSITY MEDICAL CENTER · PI JOOSTEN, SIMONE ANNE · 2019 to 2022
$1.7M
NIAID NIH HHS R01 AI141315
6 · The paper itself

Abstract

backgroundScreening for tuberculosis (TB) infection often includes QuantiFERON-TB Gold Plus (QFT) testing. Previous studies showed that two-thirds of patients with negative QFT results just below the cut-off, so-called borderline test results, nevertheless had other evidence of TB infection. This study aimed to identify a biomarker profile by which borderline QFT results due to TB infection can be distinguished from random test variation.

methodsQFT supernatants of patients with a borderline (≥0.15 and <0.35 IU·mL

conclusionsThis study was able to classify borderline QFT results as likely infection-related or random. These findings support additional laboratory testing for either IP-10 or MIG following a borderline QFT result for individuals at increased risk of reactivation TB.

Indexed as

Latent TuberculosisMycobacterium tuberculosisTuberculosisBiomarkersChemokine CXCL10HumansInterferon-gammaInterferon-gamma Release TestsTuberculin TestBiomarkersChemokine CXCL10Interferon-gamma

Identifiers

PMID35058249
PMCPMC9363845

What OpenQuestion holds

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LicenceCC BY-NC
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.