Evidence map›Paper›PMID 39095133›Full record

ArticleThe Lancet. Public health2024

Risk factors underlying racial and ethnic disparities in tuberculosis diagnosis and treatment outcomes, 2011-19: a multiple mediation analysis of national surveillance data.

Mathilda Regan, Terrika Barham, Yunfei Li, Nicole A Swartwood, Garrett R Beeler Asay, Ted Cohen, C Robert Horsburgh, Awal Khan, Suzanne M Marks, Ranell L Myles and 4 more

Abstract read
In one paragraph

Article in The Lancet. Public health, 2024. 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.

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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

14 authors.

Mathilda ReganDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA. Electronic address: mathildaregan@hsph.harvard.edu.
Terrika BarhamOffice of Health Equity, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Yunfei LiDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.
Nicole A SwartwoodDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.
Garrett R Beeler AsayDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ted CohenYale School of Public Health, New Haven, CT, USA.
C Robert HorsburghDepartment of Epidemiology, Department of Biostatistics, and Department of Global Health, School of Public Health, Boston University, Boston, MA, USA; Department of Medicine, School of Medicine, Boston University, Boston, MA, USA.
Awal KhanDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Suzanne M MarksDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Ranell L MylesOffice of Health Equity, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Joshua A SalomonDepartment of Health Policy, Stanford University, Stanford, CA, USA.
Julie L SelfDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Carla A WinstonDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Nicolas A MenziesDepartment of Global Health and Population, Harvard T H Chan School of Public Health, Boston, MA, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Intramural CDC HHS CC999999NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundDespite an overall decline in tuberculosis incidence and mortality in the USA in the past two decades, racial and ethnic disparities in tuberculosis outcomes persist. We aimed to examine the extent to which inequalities in health and neighbourhood-level social vulnerability mediate these disparities.

methodsWe extracted data from the US National Tuberculosis Surveillance System on individuals with tuberculosis during 2011-19. Individuals with multidrug-resistant tuberculosis or missing data on race and ethnicity were excluded. We examined potential disparities in tuberculosis outcomes among US-born and non-US-born individuals and conducted a mediation analysis for groups with a higher risk of treatment incompletion (a summary outcome comprising diagnosis after death, treatment discontinuation, or death during treatment). We used sequential multiple mediation to evaluate eight potential mediators: three comorbid conditions (HIV, end-stage renal disease, and diabetes), homelessness, and four census tract-level measures (poverty, unemployment, insurance coverage, and racialised economic segregation [measured by Index of Concentration at the Extremes

findingsDuring 2011-19, 27 788 US-born individuals and 57 225 non-US-born individuals were diagnosed with active tuberculosis, of whom 27 605 and 56 253 individuals, respectively, met eligibility criteria for our analyses. We did not observe evidence of disparities in tuberculosis outcomes for non-US-born individuals by race and ethnicity. Therefore, subsequent analyses were restricted to US-born individuals. Relative to White individuals, Black and Hispanic individuals had a higher risk of not completing tuberculosis treatment (adjusted relative risk 1·27, 95% CI 1·19-1·35; 1·22, 1·11-1·33, respectively). In multiple mediator analysis, the eight measured mediators explained 67% of the disparity for Black individuals and 65% for Hispanic individuals. The biggest contributors to these disparities for Black individuals and Hispanic individuals were concomitant end-stage renal disease, concomitant HIV, census tract-level racialised economic segregation, and census tract-level poverty.

interpretationOur findings underscore the need for initiatives to reduce disparities in tuberculosis outcomes among US-born individuals, particularly in highly racially and economically polarised neighbourhoods. Mitigating the structural and environmental factors that lead to disparities in the prevalence of comorbidities and their case management should be a priority.

fundingUS Centers for Disease Control and Prevention National Center for HIV, Viral Hepatitis, STD, and Tuberculosis Prevention Epidemiologic and Economic Modeling Agreement.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesTuberculosisAdolescentAdultEthnicityFemaleHumansMaleMediation AnalysisMiddle AgedPopulation SurveillanceRacial GroupsRisk FactorsTreatment OutcomeUnited States

Identifiers

PMID39095133
PMCPMC11587887

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.