Evidence map›Paper›PMID 33013856›Full record

ReviewFrontiers in immunology2020

Diagnosis for Latent Tuberculosis Infection: New Alternatives.

Claudia Carranza, Sigifredo Pedraza-Sanchez, Eleane de Oyarzabal-Mendez, Martha Torres

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 8 pooled it
2.8field-weighted citation impact, top 6% 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

107 citing papers in PubMed, 8 syntheses or guidelines pooled it, 202 citations in OpenAlex.

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  9. Efficacy and Safety of BCG Revaccination WithFrontiers in immunology · 2022
    Trial
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47 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

4 authors at 2 institutions in 1 country.

Claudia CarranzaDepartamento de Microbiología, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico.
Sigifredo Pedraza-SanchezUnidad de Bioquímica Instituto Nacional de Ciencias Médicas y Nutrición, Salvador Zubirán, Mexico City, Mexico.
Eleane de Oyarzabal-MendezDepartamento de Microbiología, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico.
Martha TorresDepartamento de Microbiología, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico.
Instituto Nacional de Enfermedades Respiratorias · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latent tuberculosis infection (LTBI) is a subclinical mycobacterial infection defined on the basis of cellular immune response to mycobacterial antigens. The tuberculin skin test (TST) and the interferon gamma release assay (IGRA) are currently used to establish the diagnosis of LTB. However, neither TST nor IGRA is useful to discriminate between active and latent tuberculosis. Moreover, these tests cannot be used to predict whether an individual with LTBI will develop active tuberculosis (TB) or whether therapy for LTBI could be effective to decrease the risk of developing active TB. Therefore, in this article, we review current approaches and some efforts to identify an immunological marker that could be useful in distinguishing LTBI from TB and in evaluating the effectiveness of treatment of LTB on the risk of progression to active TB.

Indexed as

AnimalsBiomarkersDiagnosis, DifferentialDisease ProgressionHumansInterferon-gammaLatent TuberculosisMycobacterium tuberculosisRiskTuberculin TestBiomarkersInterferon-gammaIGRAlatent tuberculosis infectionLTBILTBI diagnosisTST

Identifiers

PMID33013856
PMCPMC7511583
OpenAlexW3084152128

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.