Evidence map›Paper›PMID 26484340›Full record

ArticleFrontiers in public health2015

Interferon Gamma-Based Detection of Latent Tuberculosis Infection in the Border States of Nuevo Leon and Tamaulipas, Mexico.

Eyal Oren, Gabriela Alatorre-Izaguirre, Javier Vargas-Villarreal, Maria Guadalupe Moreno-Treviño, Javier Garcialuna-Martinez, Francisco Gonzalez-Salazar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Latent tuberculosis in migrants travelling through the northeast regions of Mexico.Journal of clinical tuberculosis and other mycobacterial diseases · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. Prevalence and correlates ofClinical epidemiology and global health
    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 3 institutions in 2 countries.

Eyal OrenDivision of Epidemiology and Biostatistics, University of Arizona , Tucson, AZ , USA.
Gabriela Alatorre-IzaguirreHealth Division, Basic Sciences, University of Monterrey , San Pedro Garza Garcia , Mexico.
Javier Vargas-VillarrealMinistry of Health Tamaulipas , Ciudad Victoria , Mexico.
Maria Guadalupe Moreno-TreviñoHealth Division, Basic Sciences, University of Monterrey , San Pedro Garza Garcia , Mexico.
Javier Garcialuna-MartinezMinistry of Health Tamaulipas , Ciudad Victoria , Mexico.
Francisco Gonzalez-SalazarHealth Division, Basic Sciences, University of Monterrey , San Pedro Garza Garcia , Mexico ; Northeast Biomedical Research, Mexican Social Security Institute , Monterrey , Mexico.
University of Monterrey · MXAutonomous University of Tamaulipas · MXUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nearly one-third of the world's population is infected with latent tuberculosis (LTBI). Tuberculosis (TB) rates in the border states are higher than national rates in both the US and Mexico, with the border accounting for 30% of total registered TB cases in both countries. However, LTBI rates in the general population in Mexican border states are unknown. In this region, LTBI is diagnosed using the tuberculin skin test (TST). New methods of detection more specific than TST have been developed, although there is currently no gold standard for LTBI detection. Our objective is to demonstrate utility of the Quantiferon TB gold In-Tube (QFT-GIT) test compared with the TST to detect LTBI among border populations. This is an observational, cross-sectional study carried out in border areas of the states of Nuevo Leon and Tamaulipas, Mexico. Participants (n = 210) provided a TST and blood sample for the QFT-GIT. Kappa coefficients assessed the agreement between TST and QFT-GIT. Participant characteristics were compared using Fisher exact tests. Thirty-eight percent of participants were diagnosed with LTBI by QFT-GIT. The proportion of LTBI detected using QFT-GIT was almost double [38% (79/210)] that found by TST [19% (39/210)] (P < 0.001). Concordance between TST and QFT-GIT was low (kappa = 0.37). We recommend further studies utilizing the QFT-GIT test to detect LTBI among border populations.

Indexed as

interferon gammalatent tuberculosis infectionMexicoMycobacterium tuberculosistuberculin skin testtuberculosis

Identifiers

PMID26484340
PMCPMC4588115
OpenAlexW2099817894

What OpenQuestion holds

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LicenceCC BY
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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.