Evidence map›Paper›PMID 21393062›Full record

ArticleTuberculosis (Edinburgh, Scotland)2011

Discriminating between latent and active tuberculosis with multiple biomarker responses.

Marc Frahm, Neela D Goswami, Kouros Owzar, Emily Hecker, Ann Mosher, Emily Cadogan, Payam Nahid, Guido Ferrari, Jason E Stout

Open access · greenAbstract read
In one paragraph

Article in Tuberculosis (Edinburgh, Scotland), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 3 syntheses or guidelines pooled it, 147 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Diagnostic accuracy of IL-2 for the diagnosis of latent tuberculosis: a systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014
    Pooled it
  4. Trial
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  10. Review
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  12. Evaluation of cytokine profiles related toFrontiers in immunology · 2024
    Article
  13. Article
  14. CCR5 promotes the migration of CD8bioRxiv : the preprint server for biology · 2023
    Article
  15. Article
  16. Differential levels of anti-Frontiers in medicine · 2023
    Article
  17. Review
  18. Frontiers in immunology · 2022
    Article
  19. Article
  20. Immune Profiling Enables Stratification of Patients With Active Tuberculosis Disease or Mycobacterium tuberculosis Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article

4 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Marc FrahmCenter for AIDS Research, Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA.
Neela D Goswami
Kouros Owzar
Emily Hecker
Ann Mosher
Emily Cadogan
Payam Nahid
Guido Ferrari
Jason E Stout
Duke Medical Center · USDuke University · US

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
Poly-functional analyses of vaccine-induced T cell responsesR01AI050483 · NIAID · DUKE UNIVERSITY · PI FERRARI, GUIDO · 2001 to 2010
$3.5M
Interplay of strain and ethnicity in the immune response to M. tuberculosisK23HL092629 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NAHID, PAYAM · 2007 to 2011
$626k
Poly-Functional Analysis/HIV-Vaccine T cell responsesR56AI050483 · NIAID · DUKE UNIVERSITY · PI FERRARI, GUIDO · 2005 to 2005
$386k
NHLBI NIH HHS K23 HL092629NHLBI NIH HHS K23HL092629NIAID NIH HHS P30 AI064518NIAID NIH HHS P30AI64518NIAID NIH HHS R01 AI050483NIAID NIH HHS R56 AI050483PHS HHS N0140082
6 · The paper itself

Abstract

We sought to identify biomarker responses to tuberculosis specific antigens which could 1) improve the diagnosis of tuberculosis infection and 2) allow the differentiation of active and latent infections. Seventy subjects with active tuberculosis (N = 12), latent tuberculosis (N = 32), or no evidence of tuberculosis infection (N = 26) were evaluated. We used the Luminex Multiplexed Bead Array platform to simultaneously evaluate 25 biomarkers in the supernatant of whole blood samples following overnight stimulation using the Quantiferon(®) Gold In-Tube kit. We defined the response to stimulation as the difference (within an individual patient) between the response to the pooled tuberculosis antigens and the negative control. IP-10 response was significantly higher in tuberculosis-infected (active or latent) subjects compared to the uninfected group (p < 0.0001). Among the 25 parameters, expression levels of IL-15 and MCP-1 were found to be significantly higher in the active tuberculosis group compared to the latent tuberculosis group (p = 0.0006 and 0.0030, respectively). When combined, IL-15 and MCP-1 accurately identified 83% of active and 88% of latent infections. The combination of IL-15 and MCP-1 responses was accurate in distinguishing persons with active tuberculosis from persons with latent tuberculosis in this study.

Indexed as

Tuberculin TestAdolescentAdultAgedAged, 80 and overBiomarkersChemokine CCL2ChildChild, PreschoolCohort StudiesFemaleHumansInterleukin-15Latent TuberculosisMaleMiddle AgedBiomarkersCCL2 protein, humanChemokine CCL2Interleukin-15

Identifiers

PMID21393062
PMCPMC3090479
OpenAlexW2124875533

What OpenQuestion holds

Textmetadata
LicenceTDM
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.