Evidence map›Paper›PMID 34074249›Full record

ArticleBMC infectious diseases2021

Factors associated with latent tuberculosis among international migrants in Brazil: a cross-sectional study (2020).

Sonia Vivian de Jezus, Thiago Nascimento do Prado, Ricardo Alexandre Arcêncio, Keila Cristina Mascarello, Carolina Maia Martins Sales, Maysa Mabel Fauth, Nahari de Faria Marcos Terena, Raphael Florindo Amorim, Vania Maria Silva Araujo, Miguel Angel López Aragón and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Enhanced screening for tuberculosis infection among immigrants in southern New Brunswick: A cross-sectional pilot study.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 3 countries.

Sonia Vivian de JezusEpidemiology Laboratory, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.ORCID https://orcid.org/0000-0002-0423-8927
Thiago Nascimento do PradoEpidemiology Laboratory, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.ORCID https://orcid.org/0000-0001-8132-6288
Ricardo Alexandre ArcêncioGraduate Studies Program in Public Health Nursing, Universidade de São Paulo, Escola de Enfermagem de Ribeirão Preto, Ribeirão Preto, São Paulo, Brazil.ORCID https://orcid.org/0000-0003-4792-8714
Keila Cristina MascarelloDepartment of Health Sciences, Centro Universitário Norte do Espírito Santo, Universidade Federal do Espírito Santo, São Mateus, ES, Brazil.ORCID https://orcid.org/0000-0003-4567-487X
Carolina Maia Martins SalesEpidemiology Laboratory, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.ORCID https://orcid.org/0000-0002-2879-5621
Maysa Mabel FauthEpidemiology Laboratory, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.ORCID https://orcid.org/0000-0002-0637-9037
Nahari de Faria Marcos TerenaDepartment of Statistics, University of Rome La Sapienza, Rome, Italy.ORCID https://orcid.org/0000-0003-2372-8363
Raphael Florindo AmorimUniversidade Federal de Roraima, Undergraduate Course in Nursing, Boa Vista, RR, Brazil.ORCID https://orcid.org/0000-0002-7491-4257
Vania Maria Silva AraujoBrazilian TB Research Network, REDE-TB, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-4821-2163
Miguel Angel López AragónPan-American Health Organization, Washington, USA.ORCID https://orcid.org/0000-0001-8400-2043
Ethel Leonor Noia MacielEpidemiology Laboratory, Universidade Federal do Espírito Santo, Vitória, ES, Brazil. ethel.maciel@gmail.com.ORCID https://orcid.org/0000-0003-4826-3355
Universidade Federal do Espírito Santo · BRCentro Universitário do Norte · BRNational Education and Research Network · BRSapienza University of Rome · ITUniversidade de Ribeirão Preto · BRUniversidade Federal de Roraima · BRWorld Health Organization Regional Office for the Americas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMigrants are a high priority group for TB control measures due to their high exposure to risk factors such as poverty and social vulnerability. The study aimed to identify factors associated with latent TB among international migrants living in four Brazilian state capitals. This was a cross-sectional study conducted in September and October 2020 in a sample of 903 international migrants living in four Brazilian state capitals: Boa Vista/RR (458), Manaus/AM (136), São Paulo/SP (257), and Curitiba/PR (52). Data were collected with a questionnaire consisting of open and closed questions on personal characteristics, information on TB, and use of preventive measures. Tuberculin skin test (TST) was performed, with reading after 72 h by trained nurses and using 5 mm induration as the positive cutoff. Chi-square test (X

resultsPrevalence of LTBI among migrants was 46.1% in Manaus/AM, 33.3% in São Paulo/SP, 28.1% in Curitiba/PR, and 23.5% in Boa Vista/RR. Factors associated with latent infection were age, male gender, and brown or indigenous race.

conclusionsThe study showed high prevalence of latent TB among international migrants.

Indexed as

AdultBrazilCross-Sectional StudiesFemaleHumansLatent TuberculosisLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsSurveys and QuestionnairesTransients and MigrantsTuberculin TestInternational migrantsLatent tuberculosisObservational studyRefugee campsSociety for the Reception of migrantsTuberculosis

Identifiers

PMID34074249
PMCPMC8168318
OpenAlexW3164381217

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.