Evidence map›Paper›PMID 27809805›Full record

ArticleBMC infectious diseases2016

Detection of latent tuberculosis infection among migrant farmworkers along the US-Mexico border.

E Oren, M H Fiero, E Barrett, B Anderson, M Nuῆez, F Gonzalez-Salazar

Abstract read
In one paragraph

Article in BMC infectious diseases, 2016. 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. HIV-Tuberculosis Co-Infection Among Immigrants and Refugees in the United States: An Integrative Review.International journal of environmental research and public health · 2026
    Review
  2. Article
  3. Strengthening Tuberculosis Control Among Migrant Workers.Tropical medicine and infectious disease · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Latent tuberculosis in migrants travelling through the northeast regions of Mexico.Journal of clinical tuberculosis and other mycobacterial diseases · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. 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.

E OrenDepartment of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA. eoren@email.arizona.edu.ORCID http://orcid.org/0000-0001-7817-3516
M H FieroDepartment of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA.
E BarrettDepartment of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA.
B AndersonDepartment of Epidemiology & Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave., P.O. Box 245211, Tucson, AZ, 85724, USA.
M NuῆezYuma County Health Services District, 2200 W 28th St, Yuma, AZ, 85364, USA.
F Gonzalez-SalazarMexican Social Security Institute, Juárez, México City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigrant farmworkers are among the highest-risk populations for latent TB infection (LTBI) in the United States with numerous barriers to healthcare access and increased vulnerability to infectious diseases. LTBI is usually diagnosed on the border using the tuberculin skin test (TST). QuantiFERON-TB Gold In-Tube (QFT-GIT) also measures immune response against specific Mycobacterium tuberculosis antigens. The objective of this study is to assess the comparability of TST and QFT-GIT to detect LTBI among migrant farmworkers on the border, as well as to examine the effects of various demographic and clinical factors on test positivity.

methodsParticipants were recruited using mobile clinics on the San Luis US-Mexico border and tested with QFT-GIT and TST. Demographic profiles and clinical histories were collected. Kappa coefficients assessed agreement between TST and QFT-GIT using various assay cutoffs. Logistic regression examined factors associated with positive TST or QFT-GIT results.

resultsOf 109 participants, 59 of 108 (55 %) were either TST (24/71, 34 %) or QFT-GIT (52/106, 50 %) positive. Concordance between TST and QFT-GIT was fair (71 % agreement, ĸ = 0.38, 95 % CI: 0.15, 0.61). Factors associated with LTBI positivity included smoking (OR = 1.26, 95 % CI-1.01-1.58) and diabetes/high blood sugar (OR = 0.70, 95 % CI = 0.51-0.98). DISCUSSION: Test concordance between the two tests was fair, with numerous discordant results observed. Greater proportion of positives detected using QFT-GIT may help avoid LTBI under-diagnosis. Assessment of LTBI status on the border provides evidence whether QFT-GIT should replace the TST in routine practice, as well as identifies risk factors for LTBI among migrant populations.

Indexed as

AdolescentAdultAgedDiabetes MellitusFarmersFemaleHumansHyperglycemiaInterferon-gamma Release TestsLatent TuberculosisLogistic ModelsMaleMexicoMiddle AgedRisk FactorsSmokingInterferon-gamma release assayLatent tuberculosis infectionMigrantsTuberculin skin test

Identifiers

PMID27809805
PMCPMC5096297

What OpenQuestion holds

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Registered trials

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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.