Evidence map›Paper›PMID 38176842›Full record

ArticleThe Lancet. Public health2024

Racial and ethnic disparities in diagnosis and treatment outcomes among US-born people diagnosed with tuberculosis, 2003-19: an analysis of national surveillance data.

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

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 7 institutions in 1 country.

Mathilda ReganDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA. Electronic address: mathildaregan@hsph.harvard.edu.
Yunfei LiDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Nicole A SwartwoodDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Terrika BarhamOffice of Health Equity, National Center for HIV, Viral Hepatitis, STD, and TB prevention, US Centers for Disease Control and Prevention, Atlanta, GE, USA.
Garrett R Beeler AsayDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB prevention, US Centers for Disease Control and Prevention, Atlanta, GE, USA.
Ted CohenYale School of Public Health, New Haven, CT, USA.
Andrew N HillDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB prevention, US Centers for Disease Control and Prevention, Atlanta, GE, USA.
C Robert HorsburghDepartments of Epidemiology, Biostatistics, Global Health, and Medicine, Boston University Schools of Public Health and Medicine, Boston, MA, USA.
Awal KhanDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB prevention, US Centers for Disease Control and Prevention, Atlanta, GE, USA.
Suzanne M MarksDivision of Tuberculosis Elimination, National Center for HIV, Viral Hepatitis, STD, and TB prevention, US Centers for Disease Control and Prevention, Atlanta, GE, USA.
Ranell L MylesOffice of Health Equity, National Center for HIV, Viral Hepatitis, STD, and TB prevention, US Centers for Disease Control and Prevention, Atlanta, GE, 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 TB prevention, US Centers for Disease Control and Prevention, Atlanta, GE, USA.
Nicolas A MenziesDepartment of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Centers for Disease Control and Prevention · USHarvard Global Health Institute · USNational Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · USBoston University · USHarvard University · USStanford University · USYale University · US

Funding

Optimal targeting for individual and population-level TB preventionR01AI146555 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI MENZIES, NICOLAS A · 2020 to 2024
$2.5M
Reducing disparities in diabetes through expanded insurance coverage.R01DK090435 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI DANAEI, GOODARZ · 2011 to 2014
$1.8M
Intramural CDC HHS CC999999NIAID NIH HHS R01 AI146555
6 · The paper itself

Abstract

backgroundPersistent racial and ethnic disparities in tuberculosis incidence exist in the USA, however, less is known about disparities along the tuberculosis continuum of care. This study aimed to describe how race and ethnicity are associated with tuberculosis diagnosis and treatment outcomes.

methodsIn this analysis of national surveillance data, we extracted data from the US National Tuberculosis Surveillance System on US-born patients with tuberculosis during 2003-19. To estimate the association between race and ethnicity and tuberculosis diagnosis (diagnosis after death, cavitation, and sputum smear positivity) and treatment outcomes (treatment for more than 12 months, treatment discontinuation, and death during treatment), we fitted log-binomial regression models adjusting for calendar year, sex, age category, and regional division. Race and ethnicity were defined based on US Census Bureau classification as White, Black, Hispanic, Asian, American Indian or Alaska Native, Native Hawaiian or Pacific Islander, and people of other ethnicities. We quantified racial and ethnic disparities as adjusted relative risks (aRRs) using non-Hispanic White people as the reference group. We also calculated the Index of Disparity as a summary measure that quantifies the dispersion in a given outcome across all racial and ethnic groups, relative to the population mean. We estimated time trends in each outcome to evaluate whether disparities were closing or widening.

findingsFrom 2003 to 2019, there were 72 809 US-born individuals diagnosed with tuberculosis disease of whom 72 369 (35·7% women and 64·3% men) could be included in analyses. We observed an overall higher risk of any adverse outcome (defined as diagnosis after death, treatment discontinuation, or death during treatment) for non-Hispanic Black people (aRR 1·27, 95% CI 1·22-1·32), Hispanic people (1·20, 1·14-1·27), and American Indian or Alaska Native people (1·24, 1·12-1·37), relative to non-Hispanic White people. The Index of Disparity for this summary outcome remained unchanged over the study period.

interpretationThis study, based on national surveillance data, indicates racial and ethnic disparaties among US-born tuberculosis patients along the tuberculosis continuum of care. Initiatives are needed to reduce diagnostic delays and improve treatment outcomes for US-born racially marginalised people in the USA.

fundingUS Centers for Disease Control and Prevention.

Indexed as

EthnicityHealthcare DisparitiesRacial GroupsTuberculosisFemaleHumansMaleTreatment OutcomeUnited States

Identifiers

PMID38176842
PMCPMC11665086
OpenAlexW4390490853

What OpenQuestion holds

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LicenceCC BY
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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.