Evidence map›Paper›PMID 37580031›Full record

ArticleThe American journal of tropical medicine and hygiene2023

Area-Based Sociodemographic Factors Associated with Latent Tuberculosis Infection in a Low-Prevalence Setting.

Jeffrey I Campbell, Mary Tabatneck, Grete E Wilt, Mingwei Sun, Wei He, Nicholas Musinguzi, Bethany Hedt-Gauthier, Gabriella S Lamb, Don Goldmann, Vishakha Sabharwal and 2 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 8 institutions in 2 countries.

Jeffrey I CampbellSection of Pediatric Infectious Diseases, Boston Medical Center, Boston, Massachusetts.
Mary TabatneckDepartment of Pediatrics, Boston Children's Hospital, Boston, Massachusetts.
Grete E WiltDepartment of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Mingwei SunCenter for Research Information Technology, Boston Children's Hospital, Boston, Massachusetts.
Wei HeCenter for Research Information Science and Computing, Massachusetts General Hospital, Boston, Massachusetts.
Nicholas MusinguziGlobal Health Collaborative, Mbarara University of Science and Technology, Mbarara, Uganda.
Bethany Hedt-GauthierDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts.
Gabriella S LambDivision of Infectious Diseases, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts.
Don GoldmannDivision of Infectious Diseases, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts.
Vishakha SabharwalSection of Pediatric Infectious Diseases, Boston Medical Center, Boston, Massachusetts.
Thomas J SandoraDivision of Infectious Diseases, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts.
Jessica E HabererCenter for Global Health, Massachusetts General Hospital, Boston, Massachusetts.
Boston Children's Hospital · USBoston Medical Center · USBoston University · USCenter for Global Health · USHarvard Global Health Institute · USHarvard University · USMassachusetts General Hospital · USMbarara University of Science and Technology · UG

Funding

Training in Child Health Services Research and Implementation ScienceT32HS000063 · AHRQ · CHILDREN'S HOSPITAL BOSTON · PI GARABEDIAN, LAURA FADEN, WALSH, KATHLEEN ELIZABETH · 1994 to 2024
$7.6M
Optimizing mHealth for adherence monitoring and interventionK24MH114732 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HABERER, JESSICA ELIZABETH · 2017 to 2021
$800k
AHRQ HHS T32 HS000063NIMH NIH HHS K24 MH114732
6 · The paper itself

Abstract

Area-based sociodemographic markers, such as census tract foreign-born population, have been used to identify individuals and communities with a high risk for tuberculosis (TB) infection in the United States. However, these markers have not been evaluated as independent risk factors for TB infection in children. We evaluated associations between census tract poverty, crowding, foreign-born population, and the CDC's Social Vulnerability Index (CDC-SVI) ranking and TB infection in a population of children tested for TB infection in Boston, Massachusetts. After adjustment for age, crowding, and foreign-born percentage, increasing census tract poverty was associated with increased odds of TB infection (adjusted odds ratio [aOR] per 10% increase in population proportion living in poverty: 1.20 [95% CI, 1.04-1.40]; P = 0.01), although this association was attenuated after further adjustment for preferred language. In separate models, increasing CDC-SVI ranking was associated with increased odds of TB infection, including after adjustment for age and language preference (aOR per 10-point increase in CDC-SVI rank: 1.08 [95% CI, 1.02-1.15]; P = 0.01). Our findings suggest area-based sociodemographic factors may be valuable for characterizing TB infection risk and defining the social ecology of pediatric TB infection in low-burden settings.

Indexed as

Latent TuberculosisTuberculosisChildHumansPrevalenceRisk FactorsSociodemographic FactorsUnited States

Identifiers

PMID37580031
PMCPMC10484283
OpenAlexW4385811307

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.